Kernel-based object tracking

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Graph-Regularized Structured Support Vector Machine for Object Tracking

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Hierarchical and Adaptive Phase Correlation for Precise Disparity Estimation of UAV Images

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Online multi-object tracking with efficient track drift and fragmentation handling

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Object tracking initialization using automatic moving object detection

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Improving target detection by coupling it with tracking

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Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches

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Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph

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A kernel-based method for markerless tumor tracking in kV fluoroscopic images

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Multi-robot Teams for Environmental Monitoring

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Moving object tracking based on mean shift algorithm and features fusion

Deilamani, M. J., & Asli, R. N. (2011) · CSI International Symposium on Artificial Intelligence and Signal Processing · doi:10.1109/aisp.2011.5960981 · Cited by 25

Visual tracking with semi-supervised online weighted multiple instance learning

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Toward Optimal Kernel-based Tracking

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Scene categorization using bag of Textons on spatial hierarchy

Battiato, S., Farinella, G. M., Gallo, G., & Ravì, D. (2008) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2008.4712310 · Cited by 25

Robust Tracking With Discriminative Ranking Lists

Tang, M., & Peng, X. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2189580 · Cited by 25

Object tracking using combination of daubechies complex wavelet transform and Zernike moment

Khare, M., Srivastava, R. K., & Khare, A. (2015) · Multimedia Tools and Applications · doi:10.1007/s11042-015-3068-5 · Cited by 25

Rough-Set-Theoretic Fuzzy Cues-Based Object Tracking Under Improved Particle Filter Framework

Chiranjeevi, P., & Sengupta, S. (2015) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2015.2471811 · Cited by 25

Distortion adaptive Sobel filters for the gradient estimation of wide angle images

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Forecasting of Cereal Yields in a Semi-arid Area Using the Simple Algorithm for Yield Estimation (SAFY) Agro-Meteorological Model Combined with Optical SPOT/HRV Images

Chahbi, A., Zribi, M., Lili‐Chabaane, Z., & Mougenot, B. (2018) · Sensors · doi:10.3390/s18072138 · Cited by 25

Online Tracker Optimization for Multi-Pedestrian Tracking Using a Moving Vehicle Camera

Kim, S., Nam, J.-Y., & Ko, B. C. (2018) · IEEE Access · doi:10.1109/access.2018.2867621 · Cited by 25

A robust visual tracking method via local feature extraction and saliency detection

Wang, Y., Wei, X., Ding, L., Tang, X., & Zhang, H. (2019) · The Visual Computer · doi:10.1007/s00371-019-01646-1 · Cited by 25

Online Object Tracking, Learning and Parsing with And-Or Graphs

Wu, T., Lu, Y., & Zhu, S. C. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2644963 · Cited by 25

Human Action Recognition: Contour-Based and Silhouette-Based Approaches

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Fusion of Multiple Camera Views for Kernel-Based 3D Tracking

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Reliable and Fast Tracking of Faces under Varying Pose

Yang, T., Li, S. Z., Pan, Q., Li, J., & Zhao, C. (2006) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fgr.2006.92 · Cited by 25

Efficient object tracking using hierarchical convolutional features model and correlation filters

Abbass, M. Y., Kwon, K.-C., Kim, N., Abdelwahab, S. A., El-Samie, F. E. A., & Khalaf, A. A. M. (2021) · The Visual Computer · doi:10.1007/s00371-020-01833-5 · Cited by 24

Visual Tracking Based on Log-Euclidean Riemannian Sparse Representation

Wu, Y., Ling, H., Blasch, E., Li, B., & Chen, G. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-24028-7_68 · Cited by 24

Robust autonomous visual detection and tracking of moving targets in UAV imagery

Siam, M., & Elhelw, M. (2012) · International Conference on Signal Processing · doi:10.1109/icosp.2012.6491761 · Cited by 24

Visual Tracking via Temporally Smooth Sparse Coding

Liu, T., Wang, G., Wang, L., & Chan, K. L. (2014) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2365363 · Cited by 24

Spatiotemporal difference-of-Gaussians filters for robust infrared small target tracking in various complex scenes

Wang, X., Ning, C., & Xu, L. (2015) · Applied Optics · doi:10.1364/ao.54.001573 · Cited by 24

Robust object tracking based on local region sparse appearance model

Han, G., Wang, X., Liu, J., Sun, N., & Wang, C. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.07.122 · Cited by 24

Visual tracking using improved flower pollination algorithm

Gao, M., Shen, J., & Jiang, J. (2017) · Optik · doi:10.1016/j.ijleo.2017.11.155 · Cited by 24

Automated leaf movement tracking in time-lapse imaging for plant phenotyping

Rehman, T. U., Zhang, L., Wang, L., Ma, D., Maki, H., Sánchez-Gallego, J. A., Mickelbart, M. V., & Jin, J. X. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105623 · Cited by 24

Hierarchical Convolution Fusion-Based Adaptive Siamese Network for Infrared Target Tracking

Xu, Y., Wan, M., Chen, Q., Qian, W., Ren, K., & Gu, G. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3117052 · Cited by 24

Vehicle Tracking on Satellite Video Based on Historical Model

Chen, S., Wang, T., Wang, H., Wang, Y., Hong, J., Dong, T., & Li, Z. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2022.3195522 · Cited by 24

Forward–Backward Mean-Shift for Visual Tracking With Local-Background-Weighted Histogram

Wang, L., Yan, H., Wu, H., & Pan, C. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2013.2263281 · Cited by 24

Correlation, Kalman filter and adaptive fast mean shift based heuristic approach for robust visual tracking

Ali, A., Jalil, A., Ahmed, J., Iftikhar, M. A., & Hussain, M. (2014) · Signal Image and Video Processing · doi:10.1007/s11760-014-0612-0 · Cited by 24

Tracking Vehicles Through Shadows and Occlusions in Wide-Area Aerial Video

Aeschliman, C., Park, J., & Kak, A. C. (2014) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2013.120404 · Cited by 24

Theory of evidence for face detection and tracking

Faux, F., & Luthon, F. (2012) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2012.02.002 · Cited by 24

Efficient multi-feature PSO for fast gray level object-tracking

AbdelTawab, A. M., Abdelhalim, M. B., & Habib, S. E. D. (2013) · Applied Soft Computing · doi:10.1016/j.asoc.2013.07.008 · Cited by 24

A quantitative description of the morphological aspects of materials structures suitable for quantitative comparisons of 3D microstructures

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Robust Visual Tracking Using Flexible Structured Sparse Representation

Bai, T., & Li, Y. (2013) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2013.2272089 · Cited by 24

Human tracking in thermal images using adaptive particle filters with online random forest learning

Ko, B. C., Kwak, J.-Y., & Nam, J.-Y. (2013) · Optical Engineering · doi:10.1117/1.oe.52.11.113105 · Cited by 24

Segmentation and tracking of static and moving objects in video surveillance scenarios

Gallego, J., Pardàs, M., & Landabaso, J. L. (2008) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2008.4712355 · Cited by 24

HSV and RGB color histograms comparing for objects tracking among non overlapping FOVs, using CBTF

Mazzeo, P. L., Giove, L., Moramarco, G. M., Spagnolo, P., & Leo, M. (2011) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2011.6027383 · Cited by 24

A Genetic Particle Filter for Moving Object Tracking

Ho, M.-C., Chiang, C., & Chen, Y. (2007) · International Conference on Image and Graphics · doi:10.1109/icig.2007.165 · Cited by 24

Scene classification in compressed and constrained domain

Farinella, G. M., & Battiato, S. (2011) · IET Computer Vision · doi:10.1049/iet-cvi.2010.0056 · Cited by 24

An adaptive template matching-based single object tracking algorithm with parallel acceleration

Yan, B., Xiao, L., Zhang, H., Xu, D., Ruan, L., Wang, Z., & Zhang, Y. (2019) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2019.102603 · Cited by 24

Intelligent monitoring method of cow ruminant behavior based on video analysis technology

Chen, Y., He, D., Yinxi, F., & Huaibo, S. (2017) · International journal of agricultural and biological engineering · doi:10.25165/j.ijabe.20171005.3117 · Cited by 24

Moving Vehicle Tracking Based on SIFT Active Particle Choosing

Gao, T., Liu, Z.-G., Gao, W.-C., & Zhang, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03040-6_85 · Cited by 24

Totalrecall

Kubat, R., DeCamp, P., & Roy, B. (2007) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/1322192.1322229 · Cited by 24

Tracking and Recognizing Actions at a Distance

Lu, W.-L., & Little, J. J. (2006) · Cited by 24

Spatial Hierarchy of Textons Distributions for Scene Classification

Battiato, S., Farinella, G. M., Gallo, G., & Ravì, D. (2009) · Lecture notes in computer science · doi:10.1007/978-3-540-92892-8_35 · Cited by 24

A color-based tracking by Kalman particle filter

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Robust Registration and Tracking Using Kernel Density Correlation

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Recognizing Human Group Behaviors with Multi-group Causalities

Zhang, C., Yang, X., Lin, W., & Zhu, J. (2012) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2012.162 · Cited by 23

Review on Kernel based Target Tracking for Autonomous Driving

Wang, Y., Yue, J., Dong, Y., & Hu, Z. (2016) · Journal of Information Processing · doi:10.2197/ipsjjip.24.49 · Cited by 23

Online Feature Selection for Visual Tracking

Roffo, G., & Melzi, S. (2016) · British Machine Vision Conference (BMVC) · doi:10.5244/c.30.120 · Cited by 23

High precision indoor positioning method based on visible light communication using improved Camshift tracking algorithm

Mao, W., Xie, H., Tan, Z., Liu, Z., & Liu, M. (2020) · Optics Communications · doi:10.1016/j.optcom.2020.125599 · Cited by 23

Object Tracking Method for Videomonitoring in Intelligent Transport Systems

Makhmutova, A., Anikin, I. V., & Dagaeva, M. (2020) · International Russian Automation Conference (RusAutoCon) · doi:10.1109/rusautocon49822.2020.9208032 · Cited by 23

A KCF-Based Incremental Target Tracking Method With Constant Update Speed

Zhao, F., Hui, K., Wang, T., Zhang, Z., & Chen, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3080308 · Cited by 23

Robust weld seam tracking method based on detection and tracking of laser stripe

Wang, N., Yang, J., Zhang, X., Gong, T., & Zhong, K. (2024) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-12667-5 · Cited by 23

Surveillance Video Stream Analysis Using Adaptive Background Model and Object Recognition

Forczmański, P., & Seweryn, M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15910-7_13 · Cited by 23

Homogeneity- and density distance-driven active contours for medical image segmentation

Truc, P. T. H., Kim, T., Lee, S., & Lee, Y.-K. (2011) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2011.03.006 · Cited by 23

Human Body Parts Tracking Using Torso Tracking: Applications to Activity Recognition

Dargazany, A. R., & Nicolescu, M. (2012) · 2012 Ninth International Conference on Information Technology - New Generations · doi:10.1109/itng.2012.132 · Cited by 18

Pixel-Wise Spatial Pyramid-Based Hybrid Tracking

Lu, H., Lu, S., Wang, D., Wang, S., & Leung, H. (2012) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2012.2201794 · Cited by 23

Kernel-Based 3D Tracking

Tyagi, A., Keck, M. A., Davis, J. W., & Potamianos, G. (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.2007.383501 · Cited by 23

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

Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion

Wang, J.-G., Sung, E., & Yau, W. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2106794 · Cited by 23

Robust Object Tracking via Locality Sensitive Histograms

He, S., Lau, R. W. H., Yang, Q., Wang, J., & Yang, M. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2527300 · Cited by 23

Neighborhood Rough Filter and Intuitionistic Entropy in Unsupervised Tracking

Chakraborty, D. B., & Pal, S. K. (2017) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2017.2768322 · Cited by 23

Multiple player tracking in soccer videos: an adaptive multiscale sampling approach

Kim, W., Moon, S.-W., Lee, J., Nam, D.-W., & Jung, C. (2018) · Multimedia Systems · doi:10.1007/s00530-018-0586-9 · Cited by 23

Identification of pulmonary nodules via CT images with hierarchical fully convolutional networks

Chen, G., Zhang, J., Zhuo, D., Pan, Y., & Pang, C. (2019) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-019-01976-1 · Cited by 23

Intra-Frame Object Tracking by Deblatting

Kotera, J., Rozumnyi, D., Šroubek, F., & Matas, J. (2019) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2019.00283 · Cited by 23

Towards Detection of Abnormal Vehicle Behavior Using Traffic Cameras

Wang, C., Musaev, A., Sheinidashtegol, P., & Atkison, T. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-23551-2_9 · Cited by 23

Shape-weighted bubble size distribution based reagent predictive control for the antimony flotation process

Ai, M., Xie, Y., Xie, S., & Gui, W. (2019) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2019.103821 · Cited by 23

Charged residues at protein interaction interfaces: Unexpected conservation and orchestrated divergence

Zhao, N., Pang, B., Shyu, C., & Korkin, D. (2011) · Protein Science · doi:10.1002/pro.655 · Cited by 23

A new approach to camera hand-off without camera calibration for the general scene with non-planar ground

Jo, Y., & Han, J.-H. (2006) · ACM International Workshop on Video Surveillance & Sensor Networks (VSSN) · doi:10.1145/1178782.1178811 · Cited by 23

ONLINE MULTIPLE TARGETS DETECTION AND TRACKING FROM MOBILE ROBOT IN CLUTTERED INDOOR ENVIRONMENTS WITH DEPTH CAMERA

Zhou, Y. C., Yang, Y., Yi, M., Bai, X., Liu, W., & Latecki, L. J. (2014) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001414550015 · Cited by 23

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

Integrating Shape and Color Features for Adaptive Real-time Object Tracking

Wang, J., & Yagi, Y. (2006) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2006.340250 · Cited by 23

A temporal sparse collaborative appearance model for visual tracking

Zhao, J., Chen, N., & Zhou, Z. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-08630-1 · Cited by 22

Online Visual Tracking via Two View Sparse Representation

Wang, D., Lu, H., & Bo, C. (2014) · IEEE Signal Processing Letters · doi:10.1109/lsp.2014.2322389 · Cited by 22

Multiple-Human Tracking by Iterative Data Association and Detection Update

Wang, L., Yung, N. H. C., & Xu, L. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2303196 · Cited by 22

Multi-feature tracking via adaptive weights

Jiang, H., Li, J., Wang, D., & Lu, H. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.03.074 · Cited by 22

The perfect marriage and much more: Combining dimension reduction, distance measures and covariance

Kashyap, R. (2019) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2019.04.174 · Cited by 22

Automatic Elevator Button Localization Using a Combined Detecting and Tracking Framework for Multi-Story Navigation

Jiang, S., Yao, W., Wong, M. S., Hang, M., Hong, Z., Kim, E., Joo, S.-H., & Kuc, T. (2020) · IEEE Access · doi:10.1109/access.2019.2958092 · Cited by 22

A Robust Method For Hand Tracking Using Mean-Shift Algorithm And Kalman Filter In Stereo Color Image Sequences

Elmezain, M., Al-Hamadi, A. K., Niese, R., & Michaelis, B. (2009) · doi:10.5281/zenodo.1073596 · Cited by 22

Independent Viewpoint Silhouette-Based Human Action Modeling and Recognition Carlos Orrite, Francisco Mart´ınez- lastin

Contreras, E. H. (2012) · Chapman & Hall/CRC eBooks · doi:10.1201/b11631-11 · Cited by 22

Recognizing pair-activities by causality analysis

Zhou, Y. F., Ni, B., Yan, S., & Huang, T. S. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1889681.1889686 · Cited by 22

Robust object tracking via multi-feature adaptive fusion based on stability: contrast analysis

Li, Z., He, S., & Hashem, M. (2014) · The Visual Computer · doi:10.1007/s00371-014-1014-6 · Cited by 22

Trajectory clustering for motion pattern extraction in aerial videos

Nawaz, T. H., Cavallaro, A., & Rinner, B. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7025203 · Cited by 22

Pyramid-Based Visual Tracking Using Sparsity Represented Mean Transform

Zhang, Z., & Wong, K. H. (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.2014.160 · Cited by 22

Game-theoretical occlusion handling for multi-target visual tracking

Zhou, X., Li, Y., & He, B. (2013) · Pattern Recognition · doi:10.1016/j.patcog.2013.02.013 · Cited by 22

Curvelet transform-based technique for tracking of moving objects

Nigam, S., & Khare, A. (2012) · IET Computer Vision · doi:10.1049/iet-cvi.2011.0023 · Cited by 22

Robust Object Tracking using Local Kernels and Background Information

Jeyakar, J., Babu, R. V., & Ramakrishnan, K. R. (2007) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2007.4379762 · Cited by 22

Sequential Particle Generation for Visual Tracking

Lao, Y., Zhu, J., & Zheng, Y. F. (2009) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2009.2022797 · Cited by 22

Real-time target tracking system for person-following robot

Ren, Q., Zhao, Q., Qi, H., & Li, L. (2016) · Chinese Control Conference (CCC) · doi:10.1109/chicc.2016.7554324 · Cited by 22

Applying centroid based adjustment to kernel based object tracking for improving localization

Mehmood, R., Ali, M. U., & Taj, I. A. (2009) · International Conference on Information and Communication Technologies · doi:10.1109/icict.2009.5267188 · Cited by 6

Robust kernel-based object tracking with multiple kernel centers

Zhang, S., & Bar‐Shalom, Y. (2009) · Cited by 5

Kernel-based target tracking with multiple features fusion

Qiu, X., Liu, S., & Liu, F. (2009) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2009.5399515 · Cited by 9

A dual-kernel-based tracking approach for visual target

Zhang, C., Jing, Z., Jin, B., & Li, Z. (2012) · Science China Information Sciences · doi:10.1007/s11432-011-4543-x · Cited by 7

Orientation and scale invariant mean shift using object mask-based kernel

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