CONDENSATION—Conditional Density Propagation for Visual Tracking

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Visual tracking using learned linear subspaces

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

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Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data

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Visual object tracking: A survey

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Multiple Source Data Fusion via Sparse Representation for Robust Visual Tracking

Wu, Y., Blasch, E., Chen, G., Li, B., & Ling, H. (2012) · Cited by 158

Video Tracking: A Concise Survey

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Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering

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The evolution of video surveillance: an overview

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A real-time tracker for markerless augmented reality

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Tracking via Robust Multi-task Multi-view Joint Sparse Representation

Hong, Z., Mei, X., Prokhorov, D. V., & Tao, D. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.86 · Cited by 155

Decentralized Sensor Fusion With Distributed Particle FiltersPreprint

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Towards robust multi-cue integration for visual tracking

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Backward Simulation Methods for Monte Carlo Statistical Inference

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An active vision system for fall detection and posture recognition in elderly healthcare

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Sequential Monte Carlo tracking by fusing multiple cues in video sequences

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Robust Video Stabilization Based on Particle Filter Tracking of Projected Camera Motion

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Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans

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Vision-Based Hand Gesture Recognition for Human-Computer Interaction

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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 148

3D tracking for gait characterization and recognition

Urtasun, R., & Fua, P. (2004) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2004.1301503 · Cited by 148

Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis

Padfield, D. R., Rittscher, J., & Roysam, B. (2010) · Medical Image Analysis · doi:10.1016/j.media.2010.07.006 · Cited by 146

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) · now publishers, Inc. eBooks · doi:10.1561/0600000005 · Cited by 145

Visual contour tracking based on particle filters

Li, P., Zhang, T., & Pece, A. E. C. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00133-6 · Cited by 145

Prognostics of Lithium-Ion Batteries Based on the Verhulst Model, Particle Swarm Optimization and Particle Filter

Xian, W., Long, B., Li, M., & Wang, H. (2013) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2013.2276473 · Cited by 144

Preserving Structure in Model-Free Tracking

Zhang, L., & van der Maaten, L. J. P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.221 · Cited by 144

Probability hypothesis density-based multitarget tracking with bistatic range and Doppler observations

Tobias, M., & Lanterman, A. D. (2005) · IEE Proceedings - Radar Sonar and Navigation · doi:10.1049/ip-rsn:20045031 · Cited by 144

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

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Parsing human motion with stretchable models

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A Color-based Particle Filter

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Adaptive Appearance Modeling for Video Tracking: Survey and Evaluation

Salti, S., Cavallaro, A., & Stefano, L. D. (2012) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2206035 · Cited by 141

Dynamic Sensor Planning and Control for Optimally Tracking Targets

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A system for real-time detection and tracking of vehicles from a single car-mounted camera

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Dynamical binary latent variable models for 3D human pose tracking

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Imaging Facial Physiology for the Detection of Deceit

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Event-based 3D SLAM with a depth-augmented dynamic vision sensor

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Enabling Multimodal Human–Robot Interaction for the Karlsruhe Humanoid Robot

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Face detection and tracking in a video by propagating detection probabilities

Verma, R., Schmid, C., & Mikolajczyk, K. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1233896 · Cited by 138

An outlier-robust Kalman filter

Agamennoni, G., Nieto, J. I., & Nebot, E. M. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5979605 · Cited by 137

A Generative Shape Regularization Model for Robust Face Alignment

Gu, L., & Takeo Kanade, A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88682-2_32 · Cited by 136

Comparative study of vision tracking methods for tracking of construction site resources

Park, M.-W., Makhmalbaf, A., & Brilakis, I. (2011) · Automation in Construction · doi:10.1016/j.autcon.2011.03.007 · Cited by 135

Audiovisual Probabilistic Tracking of Multiple Speakers in Meetings

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Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning

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Tracking body and hands for gesture recognition: NATOPS aircraft handling signals database

Song, Y., Demirdjian, D., & Davis, R. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771448 · Cited by 134

Efficient Minimum Error Bounded Particle Resampling L1 Tracker With Occlusion Detection

Mei, X., Ling, H., Wu, Y., Blasch, E. P., & Bai, L. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2255301 · Cited by 133

Globally optimal solution to multi-object tracking with merged measurements

Henriques, J. F., Caseiro, R., & Batista, J. P. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126532 · Cited by 133

Finger tracking for interaction in augmented environments

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Real-Time Camera Tracking Using a Particle Filter

Pupilli, M., & Calway, A. D. (2005) · British Machine Vision Conference (BMVC) · doi:10.5244/c.19.50 · Cited by 132

Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling

Xing, J., Ai, H., Liu, L., & Lao, S. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2102045 · Cited by 132

Online discriminative object tracking with local sparse representation

Wang, Q., Chen, F., Xu, W., & Yang, M. (2012) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2012.6162999 · Cited by 131

Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images

Mottaghi, R., Bagherinezhad, H., Rastegari, M., & Farhadi, A. (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.2016.383 · Cited by 131

JPDAF based HMM for real-time contour tracking

Chen, Y., Rui, Y., & Huang, T. 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.2001.990521 · Cited by 131

Vision-Based Relative Pose Estimation for Autonomous Rendezvous And Docking

Kelsey, J. M., Byrne, J., Cosgrove, M., Seereeram, S., & Mehra, R. K. (2006) · 2006 IEEE Aerospace Conference · doi:10.1109/aero.2006.1655916 · Cited by 130

Tracking Pedestrians Using Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes

Kratz, L., & Nishino, K. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.173 · Cited by 130

Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor

Lu, W.-L., & Little, J. J. (2006) · Canadian Conference on Computer and Robot Vision · doi:10.1109/crv.2006.66 · Cited by 130

Tracking-by-Segmentation with Online Gradient Boosting Decision Tree

Son, J., Jung, I., Park, K., & Han, B. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.350 · Cited by 130

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms

Mahadevan, V., & Vasconcelos, N. M. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.98 · Cited by 129

Chasing a moving target from a flying UAV

Teulière, C., Eck, L., & Marchand, É. (2011) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2011.6094404 · Cited by 129

Speech-gesture driven multimodal interfaces for crisis management

Sharma, R., Yeasin, M., Krahntoever, N., Rauschert, I., Cai, G., Brewer, I., MacEachren, A. M., & Sengupta, K. (2003) · Proceedings of the IEEE · doi:10.1109/jproc.2003.817145 · Cited by 129

Tracking and Modeling People in Video Sequences

Plankers, R., & Fua, P. (2001) · Computer Vision and Image Understanding · doi:10.1006/cviu.2000.0891 · Cited by 129

Visual Place Categorization: Problem, dataset, and algorithm

Wu, J., Christensen, H. I., & Rehg, J. M. (2009) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2009.5354164 · Cited by 128

Learning the Statistics of People in Images and Video

Sidenbladh, H., & Black, M. J. (2003) · International Journal of Computer Vision · doi:10.1023/a:1023765619733 · Cited by 128

Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision

Danescu, R., & Nedevschi, S. (2009) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2009.2018328 · Cited by 127

Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups

Xu, C. Y., Govindarajan, L. N., Zhang, Y., & Cheng, L. (2017) · International Journal of Computer Vision · doi:10.1007/s11263-017-0998-6 · Cited by 127

Correlation Particle Filter for Visual Tracking

Zhang, T., Liu, S., Xu, C., Liu, B., & Yang, M. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2781304 · Cited by 127

RGB-D object tracking: A particle filter approach on GPU

Choi, C., & Christensen, H. I. (2013) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2013.6696485 · Cited by 126

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 126

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 126

Remaining useful life prediction of lithium-ion battery using an improved UPF method based on MCMC

Zhang, X., Miao, Q., & Liu, Z. (2017) · Microelectronics Reliability · doi:10.1016/j.microrel.2017.02.012 · Cited by 126

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

Probabilistic Detection and Tracking of Motion Boundaries

Black, M. J., & Fleet, D. J. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008195307933 · Cited by 124

A Stochastic Graph Evolution Framework for Robust Multi-target Tracking

Bi, S., Jeng, T.-Y., Staudt, E., & Roy–Chowdhury, A. K. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15549-9_44 · Cited by 123

Tracking and recognizing actions of multiple hockey players using the boosted particle filter

Lu, W.-L., Okuma, K., & Little, J. J. (2008) · Image and Vision Computing · doi:10.1016/j.imavis.2008.02.008 · Cited by 123

Behavioral Priors for Detection and Tracking of Pedestrians in Video Sequences

Antonini, G., Venegas-Martinez, S., Bierlaire, M., & Thiran, J. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-005-4797-0 · Cited by 123

Counting Pedestrians in Video Sequences Using Trajectory Clustering

Antonini, G., & Thiran, J. (2006) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2006.879118 · Cited by 123

Human motion: modeling and recognition of actions and interactions

Aggarwal, J. K., & Park, S. (2004) · doi:10.1109/3dpvt.2004.75 · Cited by 122

Robust Visual Tracking Using Structurally Random Projection and Weighted Least Squares

Zhang, S., Zhou, H., Jiang, F., & Li, X. (2015) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2015.2406194 · Cited by 122

PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects

Duffner, S., & García, C. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.308 · Cited by 122

Exact Bayesian and particle filtering of stochastic hybrid systems

Blom, H. A. P., & Bloem, E. A. (2007) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2007.357154 · Cited by 122

Multi-Object Tracking Using Color, Texture and Motion

Takala, V., & Pietikäinen, M. (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.2007.383506 · Cited by 122

Tracking Interacting Objects Using Intertwined Flows

Wang, X., Türetken, E., Fleuret, F., & Fua, P. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2513406 · Cited by 120

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

Real-Time Feedback-Controlled Robotic Fish for Behavioral Experiments With Fish Schools

Swain, D. T., Couzin, I. D., & Leonard, N. E. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2165449 · Cited by 118

Simultaneous Localization and Mapping for Event-Based Vision Systems

Weikersdorfer, D., Hoffmann, R., & Conradt, J. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39402-7_14 · Cited by 117

A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection

Sigari, M., Pourshahabi, M. R., Soryani, M., & Fathy, M. (2014) · International Journal of Advanced Science and Technology · doi:10.14257/ijast.2014.64.07 · Cited by 117

Smart particle filtering for 3D hand tracking

Bray, M., Koller-Meier, E., & Gool, L. V. (2004) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2004.1301612 · Cited by 116

A Distributed Algorithm for Managing Multi-target Identities in Wireless Ad-hoc Sensor Networks

Shin, J., Guibas, L. J., & Zhao, F. (2003) · Lecture notes in computer science · doi:10.1007/3-540-36978-3_15 · Cited by 116

CamShift guided particle filter for visual tracking

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Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance

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Recognizing Hand Gestures Using Motion Trajectories

Yang, M., & Ahuja, N. (2001) · The Kluwer international series in video computing · doi:10.1007/978-1-4615-1423-7_3 · Cited by 115

Practical Bayesian tomography

Granade, C., Combes, J., & Cory, D. G. (2016) · New Journal of Physics · doi:10.1088/1367-2630/18/3/033024 · Cited by 114

Contour tracking by stochastic propagation of conditional density

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Visual Motion Analysis by Probabilistic Propagation of Conditional Density

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Using the condensation algorithm to implement tracking for mobile robots

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Tracking multiple objects using the Condensation algorithm

Koller-Meier, E., & Ade, F. (2001) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(00)00114-7 · Cited by 73

Stochastic Algorithms for Visual Tracking

MacCormick, J. (2002) · Springer eBooks · doi:10.1007/978-1-4471-0679-1 · Cited by 30