Kernel-based object tracking

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Exemplar-Based Human Action Pose Correction

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Physiological motion rejection in flexible endoscopy using visual servoing

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Monocular Long-Term Target Following on UAVs

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Compact Object Descriptors from Local Colour Invariant Histograms

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Object tracking by the mean-shift of regional color distribution combined with the particle-filter algorithms

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An Improvement of Kernel-Based Object Tracking Based on Human Perception

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A Protocol for Evaluating Video Trackers Under Real-World Conditions

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Object tracking in videos using adaptive mixture models and active contours

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Quad binary pattern and its application in mean-shift tracking

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Human fall detection in videos by fusing statistical features of shape and motion dynamics on Riemannian manifolds

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Location Privacy Violation via GPS-agnostic Smart Phone Car Tracking

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Robust visual tracking via online multiple instance learning with Fisher information

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An EM/E-MRF algorithm for adaptive model based tracking in extremely poor visibility

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SLAM using natural features in an underwater environment

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Differential EMD Tracking

Zhao, Q., Brennan, S., & Hai, T. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409033 · Cited by 35

Development and target following of vision-based autonomous robotic fish

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Tracking with deep neural networks

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Severely Blurred Object Tracking by Learning Deep Image Representations

Ding, J., Huang, Y., Liu, W., & Huang, K. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2406231 · Cited by 34

Block covariance based l1 tracker with a subtle template dictionary

Zhang, X., Li, W., Hu, W., Ling, H., & Maybank, S. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.08.015 · Cited by 34

Ego motion guided particle filter for vehicle tracking in airborne videos

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Automated image-based phenotypic screening for high-throughput drug discovery

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Learning Patch-Based Dynamic Graph for Visual Tracking

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Exploring Fourier Prior for Single Image Rain Removal

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Robust hierarchical multiple hypothesis tracker for multiple object tracking

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Computer Vision for Nanoscale Imaging

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Visual tracking and learning using speeded up robust features

Li, J., Wang, Y., & Wang, Y. (2012) · Pattern Recognition Letters · doi:10.1016/j.patrec.2012.08.002 · Cited by 34

Vehicle Tracking by non-Drifting Mean-shift using Projective Kalman Filter

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Online Visual Tracking of Weighted Multiple Instance Learning via Neutrosophic Similarity-Based Objectness Estimation

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Progressive convolutional transformer for image restoration

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Non-Rigid Object Contour Tracking via a Novel Supervised Level Set Model

Sun, X., Yao, H., Zhang, S., & Dong, L. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2447213 · Cited by 33

Spatiotemporal Oriented Energy Features for Visual Tracking

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Real-Time Hand Gesture Recognition for Human Robot Interaction

Correa, M., Ruíz-del-Solar, J., Verschae, R., Lee-Ferng, J., & Castillo, N. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-11876-0_5 · Cited by 33

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

A large margin framework for single camera offline tracking with hybrid cues

Khanloo, B. Y. S., Stefanus, F., Ranjbar, M., Li, Z.-N., Saunier, N., Sayed, T., & Mori, G. (2012) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2012.01.004 · Cited by 34

3D object tracking via image sets and depth-based occlusion detection

Chen, Y., Shen, Y., Liu, X., & Zhong, B. (2014) · Signal Processing · doi:10.1016/j.sigpro.2014.08.046 · Cited by 33

Registration of longitudinal brain image sequences with implicit template and spatial–temporal heuristics

Guorong Wu, A., Wang, Q., & Shen, D. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.026 · Cited by 33

Robust visual tracking with discriminative sparse learning

Lu, X., Yuan, Y., & Yan, P. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.11.016 · Cited by 34

Real-time vision-based eye state detection for driver alertness monitoring

González‐Ortega, D., Pernas, F. J. D., Antón‐Rodríguez, M., Martínez‐Zarzuela, M., & Díez-Higuera, J. F. (2013) · Pattern Analysis and Applications · doi:10.1007/s10044-013-0331-0 · Cited by 33

Probabilistic people tracking with appearance models and occlusion classification: The AD-HOC system

Vezzani, R., Grana, C., & Cucchiara, R. (2010) · Pattern Recognition Letters · doi:10.1016/j.patrec.2010.11.003 · Cited by 33

Joint Feature Correspondences and Appearance Similarity for Robust Visual Object Tracking

Khan, Z. H., & Gu, I. Y. (2010) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2010.2050312 · Cited by 33

Video Object Segmentation and Tracking Framework With Improved Threshold Decision and Diffusion Distance

Chien, S., Chan, W.-K., Tseng, Y.-H., & Chen, H.-Y. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2242595 · Cited by 33

Object Tracking Using Frame Differencing and Template Matching

Prabhakar, N., Vaithiyanathan, V., Sharma, A. P., Singh, A. K., Singhal, P., & Tech-Computer, B. (2012) · Cited by 33

A Survey on Object Tracking Algorithms

Vinci, S. J., & Sutha, V. J. (2013) · Cited by 33

Fast Weighted Histograms for Bilateral Filtering and Nearest Neighbor Searching

He, S., Yang, Q., Lau, R. W. H., & Yang, M. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2430671 · Cited by 33

Occlusion-Aware Fragment-Based Tracking With Spatial-Temporal Consistency

Sun, C., Wang, D., & Lu, H. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2580463 · Cited by 33

Mobile data traffic modeling: Revealing temporal facets

Oliveira, E. M. R., Viana, A. C., Naveen, K. P., & Sarraute, C. (2016) · Computer Networks · doi:10.1016/j.comnet.2016.10.016 · Cited by 33

Costume: a new feature for automatic video content indexing

Jaffré, G., & Joly, P. (2004) · Cited by 33

Robust multiple objects tracking using image segmentation and trajectory estimation scheme in video frames

Hsiao, Y.-T., Chuang, C.-L., Lu, Y.-L., & Jiang, J. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2006.04.002 · Cited by 33

Robust and efficient fragments-based tracking using mean shift

Wang, F., Yu, S., & Yang, J. (2009) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2009.04.004 · Cited by 33

Online Selection of Tracking Features Using AdaBoost

Yeh, Y.-J., & Hsu, C.-T. (2009) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2009.2013520 · Cited by 33

Age categorization via ECOC with fused gabor and LBP features

Wang, J., Yau, W., & Wang, H. L. (2009) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2009.5403085 · Cited by 33

Real time tracking using an active pan-tilt-zoom network camera

Dinh, T. B., Yu, Q., & Medioni, G. G. (2009) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2009.5353915 · Cited by 33

Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living

Yun, Y., & Gu, I. Y. (2016) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2015.12.002 · Cited by 33

Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition

Wong, S. C., Stamatescu, V., Gatt, A., Kearney, D., Lee, I., & McDonnell, M. D. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2696744 · Cited by 33

Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters

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Adaptive Tracking of Non-Rigid Objects Based on Color Histograms and Automatic Parameter Selection

Jacquot, A., Sturm, P. F., & Ruch, O. (2005) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/acvmot.2005.19 · Cited by 33

Visual tracking via exemplar regression model

Ma, X., Liu, Q., He, Z., Zhang, X., & Chen, W.-S. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2016.05.028 · Cited by 32

Robust visual tracking based on interactive multiple model particle filter by integrating multiple cues

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Online multiple support instance tracking

Zhou, Q.-H., Lu, H., & Yang, M. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771456 · Cited by 32

Object tracking and detection after occlusion via numerical hybrid local and global mode-seeking

Yin, Z., & Collins, R. T. (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.2008.4587542 · Cited by 32

Video-based tracking of vehicles using multiple time-spatial images

Mithun, N. C., Howlader, T., & Rahman, S. M. M. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.06.020 · Cited by 32

PRICISE TARGET GEOLOCATION AND TRACKING BASED ON UAV VIDEO IMAGERY

Hosseinpoor, H. R., Samadzadegan, F., & Javan, F. D. (2016) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xli-b6-243-2016 · Cited by 32

Applying Detection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability

Huang, D., Luo, L., Chen, Z., Wen, M., & Zhang, C. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-016-0974-6 · Cited by 32

Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking

Wan, M., Gu, G., Qian, W., Ren, K., Chen, Q., Zhang, H., & Maldague, X. (2018) · Remote Sensing · doi:10.3390/rs10040510 · Cited by 32

Visual object tracking via the local soft cosine similarity

Moujahid, D., Elharrouss, O., & Tairi, H. (2018) · Pattern Recognition Letters · doi:10.1016/j.patrec.2018.03.026 · Cited by 32

Learning Scale-Adaptive Tight Correlation Filter for Object Tracking

Zhang, S., Lu, W. B., Xing, W., & Zhang, L. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2868782 · Cited by 32

Latest Developments in Reality-Based 3D Surveying and Modelling

Fabio Remondino, A., Georgopoulos, A., González‐Aguilera, D., & Agrafiotis, P. (2018) · MDPI eBooks · doi:10.3390/books978-3-03842-685-1 · Cited by 32

Fast-moving target tracking based on mean shift and frame-difference methods

Yin, H., Chai, Y., Yang, S. X., & Yang, X. (2011) · Journal of Systems Engineering and Electronics · doi:10.3969/j.issn.1004-4132.2011.04.006 · Cited by 32

Incremental tensor biased discriminant analysis: A new color-based visual tracking method

Wen, J. A., Gao, X., Yuan, Y., Tao, D., & Li, J. (2009) · Neurocomputing · doi:10.1016/j.neucom.2009.10.013 · Cited by 32

On-board multiple target detection and tracking on camera-equipped aerial vehicles

Siam, M., ElSayed, R., & Elhelw, M. (2012) · IEEE International Conference on Robotics and Biomimetics · doi:10.1109/robio.2012.6491329 · Cited by 33

Efficient visual servoing with the ABCshift tracking algorithm

Stolkin, R., Florescu, I., Baron, M., Harrier, C., & Kocherov, B. (2008) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2008.4543701 · Cited by 32

Continuously Adaptive Data Fusion and Model Relearning for Particle Filter Tracking With Multiple Features

Xiao, J., Stolkin, R., Oussalah, M., & Leonardis, A. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2514704 · Cited by 32

On the performance of color tracking algorithms for underwater robots under varying lighting and visibility

Sattar, J., & Dudek, G. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2006.1642244 · Cited by 32

Appearance based object identification for distributed vision sensors in intelligent space

Morioka, K., & Hashimoto, H. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2004.1389352 · Cited by 32

Global Color Model Based Object Matching in the Multi-Camera Environment

Morioka, K., Mao, X., & Hashimoto, H. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.281946 · Cited by 32

Fragment-based Visual Tracking with Multiple Representations

Wang, J., & Yagi, Y. (2016) · American Journal of Engineering and Applied Sciences · doi:10.3844/ajeassp.2016.187.194 · Cited by 31

Combined feature evaluation for adaptive visual object tracking

Han, Z., Ye, Q., & Jiao, J. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.09.004 · Cited by 31

Detecting and tracking dim small targets in infrared image sequences under complex backgrounds

Li, Y., Liang, S., Bai, B., & Feng, D. D. (2012) · Multimedia Tools and Applications · doi:10.1007/s11042-012-1258-y · Cited by 31

Hybrid support vector machines for robust object tracking

Zhang, S., Sui, Y., Yu, X., Zhao, S., & Zhang, L. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.02.008 · Cited by 31

Visual tracking via incremental self-tuning particle filtering on the affine group

Li, M., Chen, W. R., Huang, K., & Tan, T. (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.2010.5539815 · Cited by 31

AN ARCHITECTURE FOR UNDERSTANDING INTENT USING A NOVEL HIDDEN MARKOV FORMULATION

Kelley, R., King, C., Tavakkoli, A., Nicolescu, M., Nicolescu, M. N., & Bebis, G. N. (2008) · International Journal of Humanoid Robotics · doi:10.1142/s0219843608001418 · Cited by 31

Visual Tracking Via Kernel Sparse Representation With Multikernel Fusion

Wang, L., Yan, H., Lv, K., & Pan, C. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2302496 · Cited by 31

Learning online structural appearance model for robust object tracking

Yang, M., Pei, M., Wu, Y., & Jia, Y. (2015) · Science China Information Sciences · doi:10.1007/s11432-014-5177-6 · Cited by 31

Particle filter with occlusion handling for visual tracking

Lin, S. D., Lin, J., & Chuang, C.-Y. (2015) · IET Image Processing · doi:10.1049/iet-ipr.2014.0666 · Cited by 31

Two-stage modality-graphs regularized manifold ranking for RGB-T tracking

Li, C., Zhu, C., Zheng, S., Luo, B., & Tang, J. P. (2018) · Signal Processing Image Communication · doi:10.1016/j.image.2018.08.004 · Cited by 31

Deep visual nerve tracking in ultrasound images

Alkhatib, M., Hafiane, A., Vieyres, P., & Delbos, A. (2019) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2019.05.007 · Cited by 31

Single Object Trackers in OpenCV: A Benchmark

Brdjanin, A., Dardagan, N., Džigal, D., & Akagić, A. (2020) · International Conference on Innovations in Intelligent Systems and Applications (INISTA) · doi:10.1109/inista49547.2020.9194647 · Cited by 31

Measurement-driven mobile data traffic modeling in a large metropolitan area

Oliveira, E. M. R., Viana, A. C., Naveen, K. P., & Sarraute, C. (2015) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2015.7146533 · Cited by 31

A novel approach for tracking high speed skaters in sports using a panning camera

Liu, G., Tang, X., Cheng, H.-D., Huang, J., & Liu, J. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.03.022 · Cited by 31

Tracking of Ball and Players in Beach Volleyball Videos

Gomez, G., López, P. H., Link, D., & Eskofier, B. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111730 · Cited by 31

Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery

DeLorenzo, C., Papademetris, X., Staib, L. H., Vives, K. P., Spencer, D. D., & Duncan, J. S. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2027993 · Cited by 31

RSSI or Time-of-flight for Bluetooth Low Energy based localization? An experimental evaluation

Giovanelli, D., & Farella, E. (2018) · IFIP Wireless and Mobile Networking Conference (WMNC) · doi:10.23919/wmnc.2018.8480847 · Cited by 31

Human fall detection via shape analysis on Riemannian manifolds with applications to elderly care

Yun, Y., & Gu, I. Y. (2015) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2015.7351410 · Cited by 31

Bayesian Filtering and Integral Image for Visual Tracking

Han, B., Yang, C., Ramani Duraiswami, B., & Davis, L. S. (2005) · Cited by 31

Implementation of an Automated Single Camera Object Tracking System Using Frame Differencing and Dynamic Template Matching

Gupta, K., & Kulkarni, A. V. (2008) · Springer eBooks · doi:10.1007/978-1-4020-8741-7_44 · Cited by 30

Robust Multiperson Detection and Tracking for Mobile Service and Social Robots

Li, L., Yan, S., Yu, X., Tan, Y. K., & Li, H. (2012) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2012.2192107 · Cited by 30

Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation

Zhou, T., & Tao, D. (2013) · Cited by 30

Accurate appearance-based Bayesian tracking for maneuvering targets

Maggio, E., & Cavallaro, A. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2008.12.003 · Cited by 30

Key Point Detection by Max Pooling for Tracking

Yu, X., Yang, J., Wang, T., & Huang, T. S. (2014) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2327246 · Cited by 30

Vehicle Tracking Using Projective Particle Filter

Bouttefroy, P. L. M., Bouzerdoum, A., Phung, S. L., & Beghdadi, A. (2009) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2009.60 · Cited by 30

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

Yi, K. M., Ahn, H. S., & Choi, J. Y. (2008) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2008.4761156 · Cited by 21