A survey of appearance models in visual object tracking

Random Forests

Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538 · see citing works

Histograms of Oriented Gradients for Human Detection

Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584 · see citing works

A New Approach to Linear Filtering and Prediction Problems

Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751 · see citing works

Greedy function approximation: A gradient boosting machine

Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731 · see citing works

Textural Features for Image Classification

Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/tsmc.1973.4309314 · Cited by 22,886 · see citing works

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

(1993) · doi:10.1109/cvpr.1993 · Cited by 17,989 · see citing works

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

Ojala, T., Pietikainen, M., & Maenpaa, T. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2002.1017623 · Cited by 15,398 · see citing works

SURF: Speeded Up Robust Features

Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955 · see citing works

Robust Real-Time Face Detection

Viola, P., & Jones, M. J. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000013087.49260.fb · Cited by 14,097 · see citing works

Proceedings of IEEE International Conference on Computer Vision

(1995) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1995.466933 · Cited by 13,117 · see citing works

Untitled work

(1981) · Cited by 11,963 · see citing works

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

Arulampalam, M. S., Maskell, S. R., Gordon, N., & Clapp, T. C. (2002) · IEEE Transactions on Signal Processing · doi:10.1109/78.978374 · Cited by 11,531 · see citing works

Determining optical flow

Horn, B. K. P., & Schunck, B. G. (1981) · Artificial Intelligence · doi:10.1016/0004-3702(81)90024-2 · Cited by 10,312 · see citing works

Determining Optical Flow

Horn, B. K. P., & Schunck, B. G. (1981) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.965761 · Cited by 7,443 · see citing works

Proceedings European Conference on Computer Vision 2002

Heyden, A., Sparr, G., Nielsen, M., & Johansen, P. (2002) · Lund University Publications (Lund University) · Cited by 5,153 · see citing works

CONDENSATION—Conditional Density Propagation for Visual Tracking

Isard, M., & Blake, A. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008078328650 · Cited by 4,886 · see citing works

Object tracking

Yılmaz, A., Javed, O., & Shah, M. A. (2006) · ACM Computing Surveys · doi:10.1145/1177352.1177355 · Cited by 4,807 · see citing works

Kernel-based object tracking

Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560 · see citing works

Semi-Supervised Learning Literature Survey

Zhu, X. (2005) · Cited by 3,828 · see citing works

Guided Search 2.0 A revised model of visual search

Wolfe, J. M. (1994) · Psychonomic Bulletin & Review · doi:10.3758/bf03200774 · Cited by 3,499 · see citing works

Learning patterns of activity using real-time tracking

Stauffer, C., & Grimson, W. E. L. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868677 · Cited by 3,246 · see citing works

Incremental Learning for Robust Visual Tracking

Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0075-7 · Cited by 3,061 · see citing works

W/sup 4/: real-time surveillance of people and their activities

Haritaoglu, I., Harwood, D., & Davis, L. S. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868683 · Cited by 2,523 · see citing works

Untitled work

(1999) · Cited by 2,243 · see citing works

A Survey on Visual Surveillance of Object Motion and Behaviors

Hu, W., Tan, T. N., Wang, L., & Maybank, S. J. (2004) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2004.829274 · Cited by 2,132 · see citing works

Proceedings IEEE International Conference on Acoustics Speech and Signal Processing

Zheng, F., McLaughlin, S., & Mulgrew, B. (1991) · Cited by 1,906 · see citing works

Visual tracking with online Multiple Instance Learning

Babenko, B., Yang, M., & Belongie, S. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206737 · Cited by 1,860 · see citing works

Struck: Structured output tracking with kernels

Hare, S., Saffari, A., & Torr, P. H. S. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126251 · Cited by 1,831 · see citing works

Visual interpretation of hand gestures for human-computer interaction: a review

Pavlović, V., Sharma, R., & Huang, T. S. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598226 · Cited by 1,793 · see citing works

The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields

Black, M. J., & Anandan, P. (1996) · Computer Vision and Image Understanding · doi:10.1006/cviu.1996.0006 · Cited by 1,571 · see citing works

Proceedings of the IEEE International Conference on Image Processing

Calway, A. D. (1996) · The Institute of Electrical and Electronics Engineers · Cited by 1,566 · see citing works

Active Appearance Models Revisited

Matthews, I. A., & Baker, S. J. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029666.37597.d3 · Cited by 1,562 · see citing works

Real-Time Compressive Tracking

Zhang, K., Lei Zhang, A., & Yang, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33712-3_62 · Cited by 1,442 · see citing works

Robust Fragments-based Tracking using the Integral Histogram

Adam, A., Rivlin, E., & Shimshoni, I. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.256 · Cited by 1,397 · see citing works

Proceedings of the British Machine Vision Conference 2014

(2014) · doi:10.5244/c.28 · Cited by 1,360 · see citing works

Proceedings of IEEE International Conference on Systems, Man and Cybernetics

(1994) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.1994.399796 · Cited by 1,342 · see citing works

A System for Video Surveillance and Monitoring

Collins, R. T., Lipton, A. J., Takeo Kanade, A., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P. J., et al. (2000) · Cited by 1,268 · see citing works

Online selection of discriminative tracking features

Collins, R. T., Liu, Y., & Leordeanu, M. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.205 · Cited by 1,211 · see citing works

Annealed importance sampling

Neal, R. M. (2001) · Statistics and Computing · doi:10.1023/a:1008923215028 · Cited by 1,208 · see citing works

Visual tracking via adaptive structural local sparse appearance model

Jia, X., Lu, H., & Yang, M. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247880 · Cited by 1,200 · see citing works

Real-Time Tracking via On-line Boosting

Grabner, H., Grabner, M., & Bischof, H. (2006) · Procedings of the British Machine Vision Conference 2006 · doi:10.5244/c.20.6 · Cited by 1,198 · see citing works

Visual tracking decomposition

Kwon, J., & Lee, K. M. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539821 · Cited by 1,165 · see citing works

On-road vehicle detection: a review

Sun, Z., Bebis, G. N., & Miller, R. H. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.104 · Cited by 1,151 · see citing works

Region Covariance: A Fast Descriptor for Detection and Classification

Tuzel, O., Porikli, F., & Meer, P. (2006) · Lecture notes in computer science · doi:10.1007/11744047_45 · Cited by 1,146 · see citing works

Ensemble Tracking

Avidan, S. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.35 · Cited by 1,112 · see citing works

Semi-supervised On-Line Boosting for Robust Tracking

Gräbner, H., Leistner, C., & Bischof, H. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88682-2_19 · Cited by 1,095 · see citing works

Efficient region tracking with parametric models of geometry and illumination

Hager, G. D., & Belhumeur, P. N. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.722606 · Cited by 1,066 · see citing works

Support vector tracking

Avidan, S. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.53 · Cited by 1,043 · see citing works

EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation

Black, M. J., & Jepson, A. D. (1998) · International Journal of Computer Vision · doi:10.1023/a:1007939232436 · Cited by 1,038 · see citing works

Semantic texton forests for image categorization and segmentation

Shotton, J., Johnson, M., & Cipolla, R. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587503 · Cited by 1,027 · see citing works

A Boosted Particle Filter: Multitarget Detection and Tracking

Okuma, K., Taleghani, A., de Freitas, N., Little, J. J., & Lowe, D. G. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24670-1_3 · Cited by 1,022 · see citing works

Geodesic active contours and level sets for the detection and tracking of moving objects

Paragios, N., & Deriche, R. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.841758 · Cited by 1,006 · see citing works

On-line Boosting and Vision

Gräbner, H., & Bischof, H. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.215 · Cited by 998 · see citing works

Robust object tracking via sparsity-based collaborative model

Zhong, W., Lu, H., & Yang, M.-H. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6247882 · Cited by 990 · see citing works

Survey of Pedestrian Detection for Advanced Driver Assistance Systems

Gerónimo, D., López, A. M., Sappa, A. D., & Graf, T. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.122 · Cited by 971 · see citing works

Robust online appearance models for visual tracking

Jepson, A. D., Fleet, D. J., & El-Maraghi, T. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1233903 · Cited by 922 · see citing works

Vision Science: Photons to Phenomenology

Lindsey, D. (2000) · Optometry and Vision Science · doi:10.1097/00006324-200005000-00008 · Cited by 865 · see citing works

Real time robust L1 tracker using accelerated proximal gradient approach

Bao, C., Wu, Y., Ling, H., & Ji, H. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247881 · Cited by 839 · see citing works

People-tracking-by-detection and people-detection-by-tracking

Andriluka, M., Roth, S., & Schiele, B. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587583 · Cited by 825 · see citing works

Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices

Arsigny, V., Fillard, P., Pennec, X., & Ayache, N. (2007) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/050637996 · Cited by 822 · see citing works

Mean-shift blob tracking through scale space

Collins, R. T. (2003) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2003.1211475 · Cited by 801 · see citing works

Elliptical head tracking using intensity gradients and color histograms

Birchfield, S. T. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1998.698614 · Cited by 743 · see citing works

Integral histogram: a fast way to extract histograms in Cartesian spaces

Porikli, F. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.188 · Cited by 701 · see citing works

Keypoint recognition using randomized trees

Lepetit, V., & Fua, P. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.188 · Cited by 681 · see citing works

Visual tracking and recognition using appearance-adaptive models in particle filters

Zhou, S. K., Chellappa, R., & Moghaddam, B. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.836152 · Cited by 668 · see citing works

Robust visual tracking via multi-task sparse learning

Zhang, T., Ghanem, B., Liu, S., & Ahuja, N. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247908 · Cited by 649 · see citing works

Real time face and object tracking as a component of a perceptual user interface

Bradski, G. R. (2002) · Proceedings · doi:10.1109/acv.1998.732882 · Cited by 629 · see citing works

A real-time computer vision system for vehicle tracking and traffic surveillance

Coifman, B. A., Beymer, D., McLauchlan, P. F., & Malik, J. (1998) · Transportation Research Part C Emerging Technologies · doi:10.1016/s0968-090x(98)00019-9 · Cited by 625 · see citing works

Object tracking using SIFT features and mean shift

Zhou, H., Yuan, Y., & Shi, C. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2008.08.006 · Cited by 598 · see citing works

Fast Keypoint Recognition Using Random Ferns

Özuysal, M., Calonder, M., Lepetit, V., & Fua, P. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.23 · Cited by 594 · see citing works

The MPEG-4 video standard verification model

Sikora, T. (1997) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.554415 · Cited by 574 · see citing works

Covariance Tracking using Model Update Based on Lie Algebra

Porikli, F., Tuzel, O., & Meer, P. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.94 · Cited by 566 · see citing works

Crowd analysis: a survey

Zhan, B., Monekosso, D., Remagnino, P., Velastín, S. A., & Xu, L.-Q. (2008) · Machine Vision and Applications · doi:10.1007/s00138-008-0132-4 · Cited by 552 · see citing works

Superpixel tracking

Wang, S., Lu, H., Yang, F., & Yang, M. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126385 · Cited by 524 · see citing works

IEEE International Conference on Computer Vision and Pattern Recognition

Daubney, B., Gibson, D., & Campbell, N. (2008) · Cited by 516 · see citing works

Incremental Singular Value Decomposition of Uncertain Data with Missing Values

Brand, M. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47969-4_47 · Cited by 511 · see citing works

On-line Random Forests

Saffari, A., Leistner, C., Santner, J., Godec, M., & Bischof, H. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457447 · Cited by 502 · see citing works

Finding Trajectories of Feature Points in a Monocular Image Sequence

Sethi, I. K., & Jain, R. (1987) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1987.4767872 · Cited by 430 · see citing works

Spatiograms versus Histograms for Region-Based Tracking

Birchfield, S. T., & Rangarajan, S. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.330 · Cited by 397 · see citing works

Sequential Karhunen-Loeve basis extraction and its application to images

Levey, A. I., & Lindenbaum, M. (2000) · IEEE Transactions on Image Processing · doi:10.1109/83.855432 · Cited by 387 · see citing works

PROST: Parallel robust online simple tracking

Santner, J., Leistner, C., Saffari, A., Pock, T., & Bischof, H. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540145 · Cited by 380 · see citing works

Subclass discriminant analysis

Zhu, M., & Martı́nez, A. M. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.172 · Cited by 379 · see citing works

Anisotropic Huber-L1 Optical Flow

Werlberger, M., Trobin, W., Pock, T., Wedel, A., Cremers, D., & Bischof, H. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.108 · Cited by 354 · see citing works

Minimum Error Bounded Efficient ℓ1 Tracker with Occlusion Detection

Mei, X., Ling, H., Wu, Y., Blasch, E., & Bai, L. (2011) · Cited by 333 · see citing works

Online Bagging and Boosting

Oza, N. C., & Russell, S. (2001) · NASA Technical Reports Server (NASA) · Cited by 330 · see citing works

Tracking colour objects using adaptive mixture models

McKenna, S. J., Raja, Y., & Gong, S. (1999) · Image and Vision Computing · doi:10.1016/s0262-8856(98)00104-8 · Cited by 315 · see citing works

Efficient Mean-Shift Tracking via a New Similarity Measure

Yang, C., Ramani Duraiswami, B., & Davis, L. S. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.139 · Cited by 314 · see citing works

Compact representations of videos through dominant and multiple motion estimation

Sawhney, H., & Ayer, S. K. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.531801 · Cited by 305 · see citing works

Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

Candamo, J., Shreve, M., Goldgof, D. B., Sapper, D., & Kasturi, R. (2009) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2009.2030963 · Cited by 300 · see citing works

Efficient Maximally Stable Extremal Region (MSER) Tracking

Donoser, M., & Bischof, H. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.107 · Cited by 299 · see citing works

Modeling inter-camera space–time and appearance relationships for tracking across non-overlapping views

Javed, O., Shafique, K. H., Rasheed, Z., & Shah, M. A. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.01.003 · Cited by 290 · see citing works

Robust Visual Tracking using 1 Minimization

Mei, X., & Ling, H. (2009) · Cited by 286 · see citing works

Dynamical statistical shape priors for level set-based tracking

Cremers, D. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.161 · Cited by 280 · see citing works

Functional Gradient Techniques for Combining Hypotheses

Mason, L., Baxter, J., Bartlett, P. L., & Frean, M. R. (2000) · The MIT Press eBooks · doi:10.7551/mitpress/1113.003.0017 · Cited by 276 · see citing works

Real-time visual tracking via online weighted multiple instance learning

Zhang, K., & Song, H. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.07.013 · Cited by 257 · see citing works

A three-frame algorithm for estimating two-component image motion

Bergen, J. R., Burt, P. J., Hingorani, R., & Peleg, B. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.161348 · Cited by 253 · see citing works

Co-Tracking Using Semi-Supervised Support Vector Machines

Tang, F., Brennan, S., Zhao, Q., & Hai, T. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408954 · Cited by 252 · see citing works

Saliency-based discriminant tracking

Mahadevan, V., & Vasconcelos, N. M. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206573 · Cited by 241 · see citing works

On incremental and robust subspace learning

Li, Y. (2004) · Pattern Recognition · doi:10.1016/j.patcog.2003.11.010 · Cited by 237 · see citing works

Unsupervised improvement of visual detectors using cotraining

Левин, Viola, & Freund (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238406 · Cited by 230 · see citing works

A novel method for tracking and counting pedestrians in real-time using a single camera

Masoud, O., & Papanikolopoulos, N. (2001) · IEEE Transactions on Vehicular Technology · doi:10.1109/25.950328 · Cited by 228 · see citing works

Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers

Yu, Q., Dinh, T. B., & Medioni, G. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88688-4_50 · Cited by 220 · see citing works

ROBUST OBJECT TRACKING USING JOINT COLOR-TEXTURE HISTOGRAM

Ning, J., Lei Zhang, A., Zhang, D. D., & Wu, C. (2009) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001409007624 · Cited by 203 · see citing works

Sparse Bayesian learning for efficient visual tracking

Williams, O. J., Blake, A., & Cipolla, R. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.167 · Cited by 197 · see citing works

Incremental Kernel Principal Component Analysis

Chin, T.-J., & Suter, D. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.896668 · Cited by 178 · see citing works

Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection

Yılmaz, A. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.382987 · Cited by 177 · see citing works

Hierarchical Part-Template Matching for Human Detection and Segmentation

Lin, Z., Davis, L. S., Doermann, D., & Dementhon, D. F. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408975 · Cited by 176 · see citing works

Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking

Lee, K.-C., & Kriegman, D. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.260 · Cited by 176 · see citing works

Implementing Decision Trees and Forests on a GPU

Sharp, T. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88693-8_44 · Cited by 176 · see citing works

Adaptive Object Tracking Based on an Effective Appearance Filter

Wang, H., Suter, D., Schindler, K., & Shen, C. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1112 · Cited by 169 · see citing works

Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking

Han, B., Comaniciu, D., Zhu, Y., & Davis, L. S. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.70771 · Cited by 168 · see citing works

Visual tracking using learned linear subspaces

Ho, J., Lee, K.-C., Yang, M., & Kriegman, D. J. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315111 · Cited by 165 · see citing works

Minimum error bounded efficient ℓ1 tracker with occlusion detection

Mei, X., Ling, H., Wu, Y., Blasch, E., & Li, B. (2011) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2011.5995421 · Cited by 161 · see citing works

Feature point correspondence in the presence of occlusion

Salari, V., & Sethi, I. K. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.41387 · Cited by 161 · see citing works

Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking

Wang, J., & Yagi, Y. (2008) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.914150 · Cited by 157 · see citing works

Weighted and robust incremental method for subspace learning

Skocaj, & Leonardis (2003) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238667 · Cited by 156 · see citing works

Proceedings of International Conference on Image Processing

(1997) · doi:10.1109/icip.1997 · Cited by 151 · see citing works

Generative versus Discriminative Methods for Object Recognition

Ulusoy, İ., & Bishop, C. M. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.167 · Cited by 150 · see citing works

Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking

Hu, W., Li, X., Zhang, X., Shi, X., Maybank, S. J., & Zhang, Z. M. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-010-0399-6 · Cited by 149 · see citing works

Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model

Hu, W., Li, X., Luo, W., Zhang, X., Maybank, S. J., & Zhang, Z. M. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.42 · Cited by 148 · see citing works

Tracking as Repeated Figure/Ground Segmentation

Ren, X., & Malik, J. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383177 · Cited by 145 · see citing works

MIForests: Multiple-Instance Learning with Randomized Trees

Leistner, C., Saffari, A., & Bischof, H. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15567-3_3 · Cited by 141 · see citing works

Multi-frame optical flow estimation using subspace constraints

Irani, M. (1999) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791283 · Cited by 140 · see citing works

Real time object tracking based on dynamic feature grouping with background subtraction

Kim, Z. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587551 · Cited by 133 · see citing works

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis

Forsyth, D. A., Arıkan, O., Ikemoto, L., O’Brien, J. F., & Ramanan, D. (2005) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000005 · Cited by 131 · see citing works

Efficient online structured output learning for keypoint-based object tracking

Hare, S., Saffari, A., & Torr, P. H. S. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247889 · Cited by 130 · see citing works

Visual tracking via incremental Log-Euclidean Riemannian subspace learning

Li, X., Hu, W., Zhang, Z. M., Zhang, X., Zhu, M., & Cheng, J. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587516 · Cited by 129 · see citing works

Mean Shift tracking with multiple reference color histograms

Leichter, I., Lindenbaum, M., & Rivlin, E. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2009.12.006 · Cited by 125 · see citing works

Differential Earth Mover's Distance with Its Applications to Visual Tracking

Zhao, Q., Yang, Z. Q., & Hai, T. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.299 · Cited by 125 · see citing works

Real-time image tracking for automatic traffic monitoring and enforcement applications

Tai, J., Tseng, S.-T., Lin, C., & Song, K. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2003.12.001 · Cited by 121 · see citing works

Online Selecting Discriminative Tracking Features Using Particle Filter

Wang, J., Chen, X., & Gao, W. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.262 · Cited by 119 · see citing works

Robust Visual Tracking Based on Incremental Tensor Subspace Learning

Li, X., Hu, W., Zhang, Z. M., Zhang, X., & Luo, G. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408950 · Cited by 118 · see citing works

Real-time Visual Tracking under Arbitrary Illumination Changes

Silveira, G., & Malis, E. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.382993 · Cited by 116 · see citing works

Object Tracking via Partial Least Squares Analysis

Wang, Q., Chen, F., Xu, W., & Yang, M.-H. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2205700 · Cited by 115 · see citing works

Direct appearance models

Hou, X., Li, S. Z., Zhang, H., & Cheng, Q. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2001.990568 · Cited by 115 · see citing works

Discriminative Tracking by Metric Learning

Wang, X., Hua, G., & Han, T. X. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15558-1_15 · Cited by 114 · see citing works

Robust tracking via weakly supervised ranking SVM

Bai, Y., & Tang, M. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247884 · Cited by 106 · see citing works

A Review of Visual Tracking

Cannons, K. J. (2008) · Cited by 106 · see citing works

Real-Time Probabilistic Covariance Tracking With Efficient Model Update

Wu, Y., Cheng, J., Wang, J., Lu, H., Wang, J., Ling, H., Blasch, E., & Li, B. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2182521 · Cited by 105 · see citing works

Robust Tracking Using Foreground-Background Texture Discrimination

Nguyen, H. T., & Smeulders, A. W. M. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-7067-x · Cited by 103 · see citing works

Point matching under large image deformations and illumination changes

Georgescu, B., & Meer, P. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.2 · Cited by 102 · see citing works

On-line density-based appearance modeling for object tracking

Han, B., & Davis, L. S. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.181 · Cited by 101 · see citing works

On-line semi-supervised multiple-instance boosting

Zeisl, B., Leistner, C., Saffari, A., & Bischof, H. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539860 · Cited by 98 · see citing works

Discriminative Spatial Attention for Robust Tracking

Fan, J., Wu, Y. N., & Dai, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15549-9_35 · Cited by 96 · see citing works

Learning Features for Tracking

Grabner, M., Gräbner, H., & Bischof, H. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.382995 · Cited by 95 · see citing works

Spatial selection for attentional visual tracking

Yang, M., Yuan, J., & Wu, Y. N. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383178 · Cited by 93 · see citing works

Detection and tracking of shopping groups in stores

Haritaoğlu, I., & Flickner, M. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2001.990507 · Cited by 91 · see citing works

Object Level Grouping for Video Shots

Šivic, J., Schaffalitzky, F., & Zisserman, A. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-005-4264-y · Cited by 88 · see citing works

A robust boosting tracker with minimum error bound in a co-training framework

Liu, R., Cheng, J., & Lu, H. (2009) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459285 · Cited by 88 · see citing works

Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking

Li, X., Dick, A., Shen, C., van den Hengel, A., & Wang, H. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.166 · Cited by 87 · see citing works

Object tracking using the Gabor wavelet transform and the golden section algorithm

He, C., Zheng, Y. F., & Ahalt, S. C. (2002) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2002.806534 · Cited by 87 · see citing works

On robustness of on-line boosting - a competitive study

Leistner, C., Saffari, A., Roth, P. M., & Bischof, H. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457451 · Cited by 80 · see citing works

Adaptive Discriminative Generative Model and Its Applications

Lin, R.-S., Ross, D. A., Lim, J., & Yang, M. (2004) · Cited by 80 · see citing works

Gradient Feature Selection for Online Boosting

Liu, X., & Yu, T. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408912 · Cited by 80 · see citing works

Generalized Kernel-Based Visual Tracking

Shen, C., Kim, J., & Wang, H. (2009) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2009.2031393 · Cited by 78 · see citing works

Non-sparse linear representations for visual tracking with online reservoir metric learning

Li, X., Shen, C., Shi, Q., Dick, A., & van den Hengel, A. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247872 · Cited by 74 · see citing works

Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking

Shen, C., Brooks, M. J., & van den Hengel, A. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.894233 · Cited by 74 · see citing works

SURF Tracking

He, W. P., Yamashita, T., Lu, H., & Lao, S. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459360 · Cited by 74 · see citing works

Incremental Focus of Attention for Robust Vision-Based Tracking

Toyama, K., & Hager, G. D. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008159011682 · Cited by 70 · see citing works

Incremental focus of attention for robust visual tracking

Toyama, K., & Hager, G. D. (1996) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1996.517073 · Cited by 70 · see citing works

Online Spatio-temporal Structural Context Learning for Visual Tracking

Wen, L., Cai, Z., Lei, Z., Yi, D., & Li, S. Z. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33765-9_51 · Cited by 69 · see citing works

Dynamic Appearance Modeling for Human Tracking

Lim, H., Camps, O., Sznaier, M., & Morariu, V. I. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.104 · Cited by 67 · see citing works

Object Tracking using Incremental 2D-PCA Learning and ML Estimation

Wang, T., Gu, I. Y., & Shi, P. (2007) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2007.366062 · Cited by 63 · see citing works

Real-time visual tracking via Incremental Covariance Tensor Learning

Wu, Y., Cheng, J., Wang, J., & Lu, H. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459369 · Cited by 63 · see citing works

Online visual tracking with histograms and articulating blocks

Nejhum, S. M. S., Ho, J. C. F., & Yang, M. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.04.002 · Cited by 59 · see citing works

On-Line Ensemble SVM for Robust Object Tracking

Tian, M., Zhang, W., & Liu, F. (2007) · Springer eBooks · doi:10.1007/978-3-540-76386-4_33 · Cited by 57 · see citing works

Increasing the discrimination power of the co-occurrence matrix-based features

Gelžinis, A., Verikas, A., & Bačauskienė, M. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2006.12.004 · Cited by 55 · see citing works

Boosting adaptive linear weak classifiers for online learning and tracking

Parag, T., Porikli, F., & Elgammal, A. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587556 · Cited by 54 · see citing works

Tracking by Affine Kernel Transformations Using Color and Boundary Cues

Leichter, I., Lindenbaum, M., & Rivlin, E. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.194 · Cited by 54 · see citing works

Graph Based Discriminative Learning for Robust and Efficient Object Tracking

Zhang, X., Hu, W., Maybank, S., & Li, X. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409034 · Cited by 54 · see citing works

Weighted and robust learning of subspace representations

Skočaj, D., Leonardis, A., & Bischof, H. (2006) · Pattern Recognition · doi:10.1016/j.patcog.2006.09.019 · Cited by 53 · see citing works

Active blobs: region-based, deformable appearance models

Sclaroff, S., & Isidoro, J. R. (2003) · Computer Vision and Image Understanding · doi:10.1016/s1077-3142(03)00003-1 · Cited by 51 · see citing works

Order determination and sparsity-regularized metric learning adaptive visual tracking

Jiang, N., Liu, W., & Wu, Y. N. (2012) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2012.6247897 · Cited by 48 · see citing works

Identifying individuals in video by combining 'generative' and discriminative head models

Everingham, M., & Zisserman, A. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.116 · Cited by 48 · see citing works

Contextual flow

Wu, Y. N., & Fan, J. (2009) · Cited by 44 · see citing works

Tracking Aspects of the Foreground against the Background

Nguyen, H. T., & Smeulders, A. W. M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24671-8_35 · Cited by 43 · see citing works

Probabilistic tracking on Riemannian manifolds

Wu, Y., Wu, B., Liu, J., & Lu, H. (2008) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2008.4761046 · Cited by 41 · see citing works

Robust Tracking with Weighted Online Structured Learning

Yao, R., Shi, Q., Shen, C., Zhang, Y., & van den Hengel, A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33712-3_12 · Cited by 40 · see citing works

Object tracking using incremental 2D-LDA learning and Bayes inference

Li, G., Liang, D., Huang, Q., Jiang, S., & Gao, W. (2008) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2008.4712068 · Cited by 39 · see citing works

Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations

Vaswani, N., Yogesh Rathi, A., Yezzi, A. J., & Tannenbaum, A. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2037465 · Cited by 34 · see citing works

Graph-based transductive learning for robust visual tracking

Zha, Y., Yang, Y., & Du-yan, B. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.06.011 · Cited by 33 · see citing works

Online multiple instance learning with no regret

Li, M., Kwok, J. T.-Y., & Lu, B. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539805 · Cited by 32 · see citing works

Tracking Nonstationary Visual Appearances by Data-Driven Adaptation

Yang, M., Fan, Z., Fan, J., & Wu, Y. N. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2019807 · Cited by 31 · see citing works

A novel supervised level set method for non-rigid object tracking

Sun, X., Yao, H., & Zhang, S. (2011) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2011.5995656 · Cited by 30 · see citing works

Object tracking using incremental Fisher discriminant analysis

Lin, R.-S., Yang, M., & Levinson, S. E. (2004) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2004.1334369 · Cited by 30 · see citing works

On-Line Random Naive Bayes for Tracking

Godec, M., Leistner, C., Saffari, A., & Bischof, H. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.865 · Cited by 29 · see citing works

On-line Adaption of Class-specific Codebooks for Instance Tracking

Gall, J., Razavi, N., & Gool, L. V. (2010) · British Machine Vision Conference (BMVC) · doi:10.5244/c.24.55 · Cited by 29 · see citing works

Bag of Features Tracking

Yang, F., Lu, H., & Chen, Y. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.46 · Cited by 29 · see citing works

Real-time face detection and tracking for mobile videoconferencing

Paschalakis, S., & Bober, M. Z. (2004) · Real-Time Imaging · doi:10.1016/j.rti.2004.02.004 · Cited by 28 · see citing works

Differential Tracking based on Spatial-Appearance Model (SAM)

Yu, T., & Wu, Y. N. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.98 · Cited by 28 · see citing works

Robust Object Trackinng wvith Regional Affine Invariant Features

Son, T. T., & Davis, L. S. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408948 · Cited by 27 · see citing works

Visual Tracker Using Sequential Bayesian Learning: Discriminative, Generative, and Hybrid

Lei, Y., Ding, X., & Wang, S. (2008) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2008.928226 · Cited by 27 · see citing works

Eigenboosting: Combining Discriminative and Generative Information

Gräbner, H., Roth, P. M., & Bischof, H. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383041 · Cited by 26 · see citing works

Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph

Tang, F., & Hai, T. (2008) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2008.927106 · Cited by 25 · see citing works

Human Tracking by Multiple Kernel Boosting with Locality Affinity Constraints

Yang, F., Lu, H., & Chen, Y. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-19282-1_4 · Cited by 24 · see citing works

Incremental learning of weighted tensor subspace for visual tracking

Wen, J. A., Li, X., Gao, X., & Tao, D. (2009) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2009.5346874 · Cited by 23 · see citing works

Object of Interest segmentation and Tracking by Using Feature Selection and Active Contours

Allili, M. S., & Ziou, D. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383449 · Cited by 23 · see citing works

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning

Kelm, B. M., Pal, C., & McCallum, A. (2006) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2006.384 · Cited by 20 · see citing works

Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking

Ellis, L., Dowson, N., Matas, J., & Bowden, R. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-010-0364-4 · Cited by 19 · see citing works

Tracking low resolution objects by metric preservation

Jiang, N., Liu, W., Su, H. Y., & Wu, Y. N. (2011) · doi:10.1109/cvpr.2011.5995537 · Cited by 18 · see citing works

Online Object Tracking: A Benchmark

Wu, Y., Lim, J., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.312 · Cited by 4,138 · see citing works

Object Tracking Benchmark

Wu, Y., Lim, J., & Yang, M.-H. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2388226 · Cited by 3,371 · see citing works

Hierarchical Convolutional Features for Visual Tracking

Ma, C., Huang, J., Yang, X., & Yang, M. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.352 · Cited by 1,811 · see citing works

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

Fan, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., Bai, H., Xu, Y., Liao, C., & Ling, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00552 · Cited by 1,742 · see citing works

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

Müller, M., Bibi, A., Giancola, S., Alsubaihi, S., & Ghanem, B. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01246-5_19 · Cited by 1,192 · see citing works

MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization

Zhang, J., Ma, S., & Sclaroff, S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10599-4_13 · Cited by 1,150 · see citing works

Deeper and Wider Siamese Networks for Real-Time Visual Tracking

Zhang, Z., & Peng, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00472 · Cited by 1,160 · see citing works

Multiple object tracking: A literature review

Luo, W., Xing, J., Milan, A., Zhang, X.-Q., Liu, W., Zhao, X., & Kim, T.-K. (2014) · Artificial Intelligence · doi:10.1016/j.artint.2020.103448 · Cited by 1,095 · see citing works

Ocean: Object-Aware Anchor-Free Tracking

Zhang, Z., Peng, H., Fu, J., Li, B., & Hu, W. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-58589-1_46 · Cited by 894 · see citing works

Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

Teerapittayanon, S., McDanel, B., & Kung, H. T. (2017) · 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2017.226 · Cited by 843 · see citing works

Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

Zhang, J., & Tao, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039359 · Cited by 774 · see citing works

Hedged Deep Tracking

Qi, Y., Zhang, S., Qin, L., Yao, H., Huang, Q., Lim, J., & Yang, M. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.466 · Cited by 735 · see citing works

The Visual Object Tracking VOT2016 Challenge Results

Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Cehovin, L., Vojír, T., Häger, G., Lukežič, A., Fernandez, G., et al. (2016) · ECCV Workshops · doi:10.1007/978-3-319-48881-3_54 · Cited by 776 · see citing works

The Visual Object Tracking VOT2015 Challenge Results

Kristan, M., Leonardis, A., Matas, J., Felsberg, M., Pflugfelder, R., Zajc, L. Č., Vojír, T., Häger, G., Lukežič, A., Eldesokey, A., et al. (2015) · 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) · doi:10.1109/iccvw.2015.79 · Cited by 895 · see citing works

MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking

Hong, Z., Chen, Z., Wang, C., Mei, X., Prokhorov, D. V., & Tao, D. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7298675 · Cited by 650 · see citing works

A Novel Performance Evaluation Methodology for Single-Target Trackers

Kristan, M., Matas, J., Leonardis, A., Vojir, T., Pflugfelder, R. P., Fernandez, G., Nebehay, G., Porikli, F., & Zajc, L. Č. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2516982 · Cited by 613 · see citing works

Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

Wang, Q., Teng, Z., Xing, J., Gao, J., Hu, W., & Maybank, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00510 · Cited by 604 · see citing works

The Visual Object Tracking VOT2014 Challenge Results

Kristan, M., Pflugfelder, R. P., Leonardis, A., Matas, J., Zajc, L. Č., Nebehay, G., Vojíř, T., Fernández, G., Lukežič, A., Dimitriev, A., et al. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-16181-5_14 · Cited by 606 · see citing works

Deep visual tracking: Review and experimental comparison

Li, P., Wang, D., Wang, L., & Lu, H. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2017.11.007 · Cited by 517 · see citing works

SeqTrack: Sequence to Sequence Learning for Visual Object Tracking

Chen, X., Peng, H., Wang, D., Lu, H., & Han, H. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.01400 · Cited by 501 · see citing works

Visual Tracking via Adaptive Spatially-Regularized Correlation Filters

Dai, K., Wang, D., Lu, H., Sun, C., & Li, J. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00480 · Cited by 448 · see citing works

Deep Learning for Visual Tracking: A Comprehensive Survey

Marvasti-Zadeh, S. M., Cheng, L., Ghanei-Yakhdan, H., & Shohreh Kasaei, B. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3046478 · Cited by 417 · see citing works

LaSOT: A High-quality Large-scale Single Object Tracking Benchmark

Fan, H., Bai, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., Harshit, Huang, M., Liu, J., et al. (2021) · International Journal of Computer Vision · doi:10.1007/s11263-020-01387-y · Cited by 360 · see citing works

Robust Visual Tracking via Convolutional Networks without Training

Zhang, K., Liu, Q., Wu, Y., & Yang, M. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2531283 · Cited by 373 · see citing works

Notice of Removal: The Visual Object Tracking VOT2013 Challenge Results

Kristan, M., Pflugfelder, R. P., Leonardis, A., Matas, J., Porikli, F., Zajc, L. Č., Nebehay, G., Fernandez, G., Vojíř, T., Gatt, A., et al. (2013) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2013.20 · Cited by 310 · see citing works

Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

Wang, X., Shu, X., Zhang, Z., Jiang, B., Wang, Y., Tian, Y., & Wu, F. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.01355 · Cited by 302 · see citing works

A review of video surveillance systems

Elharrouss, O., Almaadeed, N., & Al-Maadeed, S. (2021) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2021.103116 · Cited by 283 · see citing works

A deep learning approach to traffic lights: Detection, tracking, and classification

Behrendt, K., Novák, L., & Botros, R. (2017) · IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2017.7989163 · Cited by 273 · see citing works

Learn to Match: Automatic Matching Network Design for Visual Tracking

Zhang, Z., Liu, Y., Wang, X., Li, B., & Hu, W. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01309 · Cited by 269 · see citing works

Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking

Lan, X., Ma, A. J., Yuen, P. C., & Chellappa, R. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2481325 · Cited by 216 · see citing works

Robust Visual Tracking via Hierarchical Convolutional Features

Ma, C., Huang, J., Yang, X., & Yang, M. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2865311 · Cited by 209 · see citing works

Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker

Lan, X., Zhang, S., Yuen, P. C., & Chellappa, R. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2777183 · Cited by 209 · see citing works

Computational Analysis of Behavior

Egnor, S. E. R., & Branson, K. M. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-013845 · Cited by 189 · see citing works

Exploiting Recurrent Neural Networks and Leap Motion Controller for the Recognition of Sign Language and Semaphoric Hand Gestures

Avola, D., Bernardi, M., Cinque, L., Foresti, G. L., & Massaroni, C. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2856094 · Cited by 198 · see citing works

Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation

Vásconez, J. P., Delpiano, J. F., Vougioukas, S. G., & Cheein, F. A. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105348 · Cited by 195 · see citing works

Video Object Segmentation and Tracking

Yao, R., Lin, G., Xia, S., Zhao, J., & Zhou, Y. Z. (2020) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3391743 · Cited by 222 · see citing works

Anti-UAV: A Large-Scale Benchmark for Vision-Based UAV Tracking

Jiang, N., Wang, K., Peng, X., Yu, X., Wang, Q., Xing, J., Li, G., Guo, G., Ye, Q., Jiao, J., et al. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3128047 · Cited by 193 · see citing works

Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook

Javed, S., Danelljan, M., Khan, F. S., Khan, M. H., Felsberg, M., & Matas, J. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3212594 · Cited by 190 · see citing works

Person-following by autonomous robots: A categorical overview

Islam, M. J., Hong, J., & Sattar, J. (2019) · The International Journal of Robotics Research · doi:10.1177/0278364919881683 · Cited by 159 · see citing works

Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking

Ma, C., Huang, J.-B., Yang, X., & Yang, M.-H. (2018) · International Journal of Computer Vision · doi:10.1007/s11263-018-1076-4 · Cited by 156 · see citing works

A Robust Parallel Object Tracking Method for Illumination Variations

Liu, S., Liu, G., & Zhou, H. (2018) · Mobile Networks and Applications · doi:10.1007/s11036-018-1134-8 · Cited by 151 · see citing works

Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation

Lan, X., Ma, A. J., & Yuen, P. C. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.156 · Cited by 145 · see citing works

Learning to Filter: Siamese Relation Network for Robust Tracking

Cheng, S., Zhong, B., Li, G., Liu, X., Tang, Z., Li, X., & Wang, J. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00440 · Cited by 142 · see citing works

Object Tracking in RGB-T Videos Using Modal-Aware Attention Network and Competitive Learning

Zhang, H., Zhang, L., Li, Z., & Zhang, J. (2020) · Sensors · doi:10.3390/s20020393 · Cited by 140 · see citing works

Real-Time ‘Actor-Critic’ Tracking

Chen, B., Wang, D., Li, P., Wang, S., & Lu, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01234-2_20 · Cited by 141 · see citing works

SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation

Wang, X., Li, C., Luo, B., & Tang, J. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00511 · Cited by 123 · see citing works

Fusing two-stream convolutional neural networks for RGB-T object tracking

Li, C., Wu, X., Zhao, N., Cao, X., & Tang, J. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.11.068 · Cited by 129 · see citing works

A Comprehensive Performance Evaluation of Deformable Face Tracking “In-the-Wild”

Chrysos, G. G., Antonakos, E., Snape, P., Asthana, A., & Zafeiriou, S. P. (2017) · International Journal of Computer Vision · doi:10.1007/s11263-017-0999-5 · Cited by 124 · see citing works

Deep learning for multiple object tracking: a survey

Xu, Y., Zhou, X., Chen, S., & Li, F. (2019) · IET Computer Vision · doi:10.1049/iet-cvi.2018.5598 · Cited by 122 · see citing works

Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System

Lan, X., Ye, M., Shao, R., Zhong, B., Yuen, P. C., & Zhou, H. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2019.2898618 · Cited by 123 · see citing works

Hedging Deep Features for Visual Tracking

Qi, Y., Zhang, S., Qin, L., Huang, Q., Yao, H., Lim, J., & Yang, M. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2828817 · Cited by 122 · see citing works

Modality-correlation-aware sparse representation for RGB-infrared object tracking

Lan, X., Ye, M., Zhang, S., Zhou, H., & Yuen, P. C. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2018.10.002 · Cited by 121 · see citing works

A review of visual moving target tracking

Pan, Z. Y., Liu, S., & Fu, W. (2016) · Multimedia Tools and Applications · doi:10.1007/s11042-016-3647-0 · Cited by 117 · see citing works

A Review of Co-Saliency Detection Algorithms

Zhang, D., Fu, H., Han, J., Borji, A., & Li, X. (2018) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3158674 · Cited by 116 · see citing works

Handcrafted and Deep Trackers

Fiaz, M., Mahmood, A., Javed, S., & Jung, S. K. (2019) · ACM Computing Surveys · doi:10.1145/3309665 · Cited by 134 · see citing works

Visual Tracking Using Strong Classifier and Structural Local Sparse Descriptors

Ma, B., Shen, J., Liu, Y., Hu, H., Shao, L., & Li, X. (2015) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2015.2463221 · Cited by 108 · see citing works

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Felsberg, M., Berg, A., Häger, G., Ahlberg, J., Kristan, M., Matas, J., Leonardis, A., Cehovin, L., Fernandez, G., Vojír, T., et al. (2015) · 2015 IEEE International Conference on Computer Vision Workshop (ICCVW) · doi:10.1109/iccvw.2015.86 · Cited by 145 · see citing works

Object Tracking by Oversampling Local Features

Pernici, F., & Bimbo, A. D. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.250 · Cited by 104 · see citing works

CNNTracker: Online discriminative object tracking via deep convolutional neural network

Chen, Y., Yang, X., Zhong, B., Pan, S., Chen, D., & Zhang, H. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.06.048 · Cited by 104 · see citing works

Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques

Zitouni, M., Bhaskar, H., Dias, J., & Al-Mualla, M. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.12.070 · Cited by 98 · see citing works

Context-Aware Three-Dimensional Mean-Shift With Occlusion Handling for Robust Object Tracking in RGB-D Videos

Liu, Y., Jing, X., Nie, J., Gao, H., Liu, J., & Jiang, G. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2863604 · Cited by 101 · see citing works

Non-Markovian Globally Consistent Multi-object Tracking

Maksai, A., Wang, X., Fleuret, F., & Fua, P. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.278 · Cited by 94 · see citing works

Adaptive Region Proposal With Channel Regularization for Robust Object Tracking

Lu, X., Ma, C., Ni, B., & Yang, X. (2019) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2019.2944654 · Cited by 95 · see citing works

New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Over Camera Network

Zhang, S., Wang, C., Chan, S. C., Wei, X., & Ho, C. S. (2014) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2382174 · Cited by 94 · see citing works

Visual Tracking via Online Nonnegative Matrix Factorization

Wu, Y., Shen, B., & Ling, H. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2278199 · Cited by 92 · see citing works

Intelligent Evacuation Management Systems

Ibrahim, A. M., Venkat, I., Subramanian, K. G., Khader, A. T., & Wilde, P. D. (2016) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2842630 · Cited by 90 · see citing works

SatSOT: A Benchmark Dataset for Satellite Video Single Object Tracking

Zhao, M., Li, S., Xuan, S., Kou, L., Gong, S., & Zhou, Z. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3140809 · Cited by 90 · see citing works

Siamese object tracking for unmanned aerial vehicle: a review and comprehensive analysis

Fu, C., Lu, K., Zheng, G., Ye, J., Cao, Z., Li, B., & Lu, G. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10558-5 · Cited by 95 · see citing works

Similarity Fusion for Visual Tracking

Zhou, Y. C., Bai, X., Liu, W., & Latecki, L. J. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-015-0879-9 · Cited by 88 · see citing works

Object Tracking in Vary Lighting Conditions for Fog Based Intelligent Surveillance of Public Spaces

Liu, G., Liu, S., Muhammad, K., Sangaiah, A. K., & Doctor, F. (2018) · IEEE Access · doi:10.1109/access.2018.2834916 · Cited by 87 · see citing works

Recent advances of single-object tracking methods: A brief survey

Zhang, Y., Wang, T., Liu, K., Zhang, B., & Chen, L. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.05.011 · Cited by 88 · see citing works

Deep Relative Tracking

Gao, J., Zhang, T., Yang, X., & Xu, C. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2656628 · Cited by 82 · see citing works

Anti-UAV: A Large Multi-Modal Benchmark for UAV TrackingPreprint

Jiang, N., Wang, K., Peng, X., Yu, X., Wang, Q., Xing, J., Li, G., Zhao, J. C., Guo, G., & Han, Z. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2101.08466 · Cited by 110 · see citing works

A Saliency Prior Context Model for Real-Time Object Tracking

Ma, C., Miao, Z., Zhang, X.-P. S., & Li, M. (2017) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2694219 · Cited by 81 · see citing works

An intelligent flying system for automatic detection of faults in photovoltaic plants

Carletti, V., Greco, A., Saggese, A., & Vento, M. (2019) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-019-01212-6 · Cited by 81 · see citing works

Siamese Visual Object Tracking: A Survey

Ondrašovič, M., & Tarábek, P. (2021) · IEEE Access · doi:10.1109/access.2021.3101988 · Cited by 82 · see citing works

Robust Multitask Multiview Tracking in Videos

Mei, X., Hong, Z., Prokhorov, D. V., & Tao, D. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2399233 · Cited by 78 · see citing works

Robust Visual Tracking via Basis Matching

Zhang, S., Lan, X., Qi, Y., & Yuen, P. C. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2539860 · Cited by 81 · see citing works

Transformers in Single Object Tracking: An Experimental Survey

Kugarajeevan, J., Thanikasalam, K., Ramanan, A., & Fernando, S. (2023) · IEEE Access · doi:10.1109/access.2023.3298440 · Cited by 86 · see citing works

Robust Visual Tracking via Least Soft-Threshold Squares

Wang, D., Lu, H., & Yang, M. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2462012 · Cited by 78 · see citing works

Deep Metric Learning for Visual Tracking

Hu, J., Lu, J., & Tan, Y. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2477936 · Cited by 77 · see citing works

Deformable part-based tracking by coupled global and local correlation filters

Akın, O., Erdem, E., Erdem, A., & Mikolajczyk, K. (2016) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2016.04.018 · Cited by 77 · see citing works

Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying

Zhong, B., Bai, B., Li, J., Zhang, Y., & Fu, Y. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2885238 · Cited by 73 · see citing works

A New Approach to Track Multiple Vehicles With the Combination of Robust Detection and Two Classifiers

Min, W., Fan, M., Guo, X., & Han, Q. (2017) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2017.2756989 · Cited by 71 · see citing works

DS-KCF: a real-time tracker for RGB-D data

Hannuna, S., Camplani, M., Hall, J., Mirmehdi, M., Damen, D., Burghardt, T., Paiement, A., & Tao, L. (2016) · Journal of Real-Time Image Processing · doi:10.1007/s11554-016-0654-3 · Cited by 69 · see citing works

Learning Target-aware Representation for Visual Tracking via Informative Interactions

Guo, M., Zhang, Z., Fan, H., Jing, L., Lyu, Y., Li, B., & Hu, W. (2022) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2022/130 · Cited by 73 · see citing works

The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Felsberg, M., Kristan, M., Matas, J., Leonardis, A., Pflugfelder, R., Häger, G., Berg, A., Eldesokey, A., Ahlberg, J., Cehovin, L., et al. (2016) · ECCV Workshops · doi:10.1007/978-3-319-48881-3_55 · Cited by 48 · see citing works

On-Road Vehicle Tracking Using Part-Based Particle Filter

Fang, Y., Wang, C., Yao, W., Zhao, X., Zhao, H., & Zha, H. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2888500 · Cited by 65 · see citing works

Robust Object Tracking Based on Temporal and Spatial Deep Networks

Zhu, T., Xing, J., Wang, Q., Lang, C., Feng, S., & Jin, Y. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.130 · Cited by 62 · see citing works

Unmanned Aerial Vehicle Video-Based Target Tracking Algorithm Using Sparse Representation

Wan, M., Gu, G., Qian, W., Ren, K., Maldague, X., & Chen, Q. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2930656 · Cited by 62 · see citing works

Deep learning to frame objects for visual target tracking

Pang, S., del Coz, J. J., Yu, Z., Luaces, O., & Díez, J. (2017) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2017.08.010 · Cited by 60 · see citing works

Camouflaged Object Detection and Tracking: A Survey

Mondal, A. (2020) · International Journal of Image and Graphics · doi:10.1142/s021946782050028x · Cited by 60 · see citing works

Extracting Vehicle Trajectories Using Unmanned Aerial Vehicles in Congested Traffic Conditions

Kim, E.-J., Park, H., Ham, S. W., Kho, S., & Kim, D. (2019) · Journal of Advanced Transportation · doi:10.1155/2019/9060797 · Cited by 60 · see citing works

Collaborative Correlation Tracking

Zhu, G., Wang, J., Wu, Y., & Lu, H. (2015) · British Machine Vision Conference (BMVC) · doi:10.5244/c.29.184 · Cited by 59 · see citing works

DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking

Abdelpakey, M. H., Shehata, M., & Mohamed, M. M. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-03801-4_41 · Cited by 57 · see citing works

Generalized Pooling for Robust Object Tracking

Ma, B., Hu, H., Shen, J., Liu, Y., & Shao, L. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2588329 · Cited by 56 · see citing works

A novel visual tracking method using bat algorithm

Gao, M., Shen, J., Yin, L., Liu, W., Zou, G., Li, H., & Fu, G. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.11.072 · Cited by 55 · see citing works

Real-time visual tracking by deep reinforced decision making

Choi, J., Kwon, J., & Lee, K. M. (2018) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2018.05.009 · Cited by 82 · see citing works

Tracking Using Multilevel Quantizations

Hong, Z., Wang, C., Mei, X., Prokhorov, D. V., & Tao, D. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10599-4_11 · Cited by 55 · see citing works

When Correlation Filters Meet Convolutional Neural Networks for Visual Tracking

Ma, C., Xu, Y. X., Ni, B., & Yang, X. (2016) · IEEE Signal Processing Letters · doi:10.1109/lsp.2016.2601691 · Cited by 54 · see citing works

Research orientation for visual tracking models

Kumar, A. (2023) · CRC Press eBooks · doi:10.1201/9781003456322-2

Survey of Generative and Discriminative Appearance Models in Visual Object Tracking

Remya, K. R., & Krishnan, C. V. (2018) · International journal of advance research, ideas and innovations in technology · Cited by 2 · see citing works

Robust appearance modeling for object detection and tracking: a survey of deep learning approaches

Mumuni, A., & Mumuni, F. (2022) · Progress in Artificial Intelligence · doi:10.1007/s13748-022-00290-6 · Cited by 8 · see citing works

Tracking objects in video using motion and appearance models

Sankaranarayanan, A. C., Chellappa, R., & Zheng, Q. (2005) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2005.1530075 · Cited by 4 · see citing works

A hierarchical adaptive model for robust short-term visual tracking

Zajc, L. Č. (2015) · Repository of the University of Ljubljana (University of Ljubljana)