CONDENSATION—Conditional Density Propagation for Visual Tracking

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Multi-Target Tracking by Online Learning a CRF Model of Appearance and Motion Patterns

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A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering

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Analysis of People Trajectories with Ubiquitous Sensors in a Science Museum

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A Novel Sensing and Data Fusion System for 3-D Arm Motion Tracking in Telerehabilitation

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Revealing Gauguin

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Highly Nonrigid Object Tracking via Patch-Based Dynamic Appearance Modeling

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3D textureless object detection and tracking: An edge-based approach

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Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours

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ViKY Robotic Scope Holder: Initial Clinical Experience and Preliminary Results Using Instrument Tracking

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Towards Improved Observation Models for Visual Tracking: Selective Adaptation

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3D Human Body Tracking Using Deterministic Temporal Motion Models

Urtasun, R., & Fua, P. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24672-5_8 · Cited by 83

Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios

Bullmann, M., Fetzer, T., Ebner, F., Ebner, M., Deinzer, F., & Grzegorzek, M. (2020) · Sensors · doi:10.3390/s20164515 · Cited by 82

Style‐Based Motion Synthesis†

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Monocular Human Motion Capture with a Mixture of Regressors

Agarwal, A., & Triggs, B. (2006) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvpr.2005.496 · Cited by 82

Achieving real-time object detection and tracking under extreme conditions

Porikli, F. (2006) · Journal of Real-Time Image Processing · doi:10.1007/s11554-006-0011-z · Cited by 82

A Robust Tracking System for Low Frame Rate Video

Zhang, X., Hu, W., Xie, N., Bao, H., & Maybank, S. J. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0819-8 · Cited by 81

Detecting falls with 3D range camera in ambient assisted living applications: A preliminary study

Leone, A., Diraco, G., & Siciliano, P. A. (2011) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2011.02.001 · Cited by 81

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

Road tracking in aerial images based on human–computer interaction and Bayesian filtering

Zhou, J. W., Bischof, W. F., & Caelli, T. (2006) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2006.09.002 · Cited by 81

Fast, reliable, adaptive, bimodal people tracking for indoor environments

Scheutz, M. J., Mcraven, J., & Cserey, G. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2004.1389583 · Cited by 81

Target Detection and Tracking With Heterogeneous Sensors

Zhou, H., Taj, M., & Cavallaro, A. (2008) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2008.2001429 · Cited by 80

Real-time camera pose estimation for sports fields

Citraro, L., Márquez-Neila, P., Savarè, S., Jayaram, V., Dubout, C., Renaut, F., Hasfura, A., Shitrit, H. B., & Fua, P. (2020) · Machine Vision and Applications · doi:10.1007/s00138-020-01064-7 · Cited by 80

Real-time fault detection and situational awareness for rovers: report on the mars technology program task

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Real-time Earthquake Location Using Kirchhoff Reconstruction

Baker, T. (2005) · Bulletin of the Seismological Society of America · doi:10.1785/0120040123 · Cited by 80

Multi-object tracking using dynamical graph matching

Chen, H.-T., Lin, H.-H., & Liu, T.-L. (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.2001.990962 · Cited by 80

Mean Shift Trackers with Cross-Bin Metrics

Leichter, I. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.167 · Cited by 79

Learning a Family of Detectors via Multiplicative Kernels

Yuan, Q., Thangali, A., Ablavsky, V., & Sclaroff, S. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.117 · Cited by 79

Robust object tracking with background-weighted local kernels

Jeyakar, J., Babu, R. V., & Ramakrishnan, K. R. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2008.05.005 · Cited by 79

Wind farm layout optimization using particle filtering approach

Eroğlu, Y., & Seçkiner, S. U. (2013) · Renewable Energy · doi:10.1016/j.renene.2013.02.019 · Cited by 79

Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects

Zia, M. Z., Stark, M. M., & Konrad Schindler, B. (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.2014.470 · Cited by 79

Pedestrian detection using sparse Gabor filter and support vector machine

Cheng, H., Zheng, N., & Qin, J. (2005) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2005.1505166 · Cited by 79

Multiple human tracking in high-density crowds

Ali, I., & Dailey, M. N. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.08.013 · Cited by 78

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

Sequential Monte Carlo framework for extended object tracking

Vermaak, J., Ikoma, N., & Godsill, S. (2005) · IEE Proceedings - Radar Sonar and Navigation · doi:10.1049/ip-rsn:20045044 · Cited by 78

A Hierarchical Model of Dynamics for Tracking People witha Single Video Camera

Karaulova, I. A., Hall, P. M., & Marshall, A. (2000) · British Machine Vision Conference (BMVC) · doi:10.5244/c.14.36 · Cited by 78

A tutorial on particle filters

Speekenbrink, M. (2016) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2016.05.006 · Cited by 78

Adaptive importance sampling in signal processing

Bugallo, M. F., Martino, L., & Corander, J. (2015) · Digital Signal Processing · doi:10.1016/j.dsp.2015.05.014 · Cited by 78

Population Monte Carlo algorithms.

Iba, Y. (2001) · Transactions of the Japanese Society for Artificial Intelligence · doi:10.1527/tjsai.16.279 · Cited by 78

Architectures for efficient implementation of particle filters

Djurić, P. M., & Bolić, M. (2004) · Cited by 78

Multiple Human Tracking Based on Multi-view Upper-Body Detection and Discriminative Learning

Xing, J., Ai, H., & Lao, S. (2010) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2010.420 · Cited by 77

Distributed Object Detection With Linear SVMs

Pang, Y., Zhang, K., Yuan, Y., & Wang, K. (2014) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2301453 · Cited by 77

Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)

Han, Z., Jiao, J., Zhang, B., Ye, Q., & Liu, J. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.03.002 · Cited by 77

Vision-Based Multiple Interacting Targets Tracking via On-Line Supervised Learning

Song, X., Cui, J., Zha, H., & Zhao, H. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88690-7_48 · Cited by 77

Active Appearance-Based Robot Localization Using Stereo Vision

Porta, J. M., Verbeek, J. J., & Kröse, B. (2004) · Autonomous Robots · doi:10.1023/b:auro.0000047287.00119.b6 · Cited by 77

Smart particle filtering for high-dimensional tracking

Bray, M., Koller-Meier, E., & Gool, L. V. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2005.09.013 · Cited by 77

A probabilistic language based upon sampling functions

Park, S., Pfenning, F., & Thrun, S. (2005) · ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL) · doi:10.1145/1040305.1040320 · Cited by 77

3D head tracking for fall detection using a single calibrated camera

Rougier, C., Meunier, J., St-Arnaud, A., & Rousseau, J. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.11.003 · Cited by 77

Novel Technique for Vision-Based UAV Navigation

Zhang, J., Liu, W., & Wu, Y. (2011) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2011.6034661 · Cited by 77

Issues in Automated Visual Surveillance

Dick, A., & Brooks, M. J. (2003) · Cited by 77

Bayesian sequential state estimation for MIMO wireless communications

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Vision In and Out of Vehicles: Integrated Driver and Road Scene Monitoring

Apostoloff, N., & Zelinsky, A. (2004) · The International Journal of Robotics Research · doi:10.1177/0278364904042206 · Cited by 77

Thermal Infrared Imaging: A Novel Method to Monitor Airflow During Polysomnography

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An occlusion-aware particle filter tracker to handle complex and persistent occlusions

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A Unified Framework for Tracking Based Text Detection and Recognition from Web Videos

Tian, S., Yin, X.-C., Su, Y., & Hao, H. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2692763 · Cited by 75

Particle filter based on Particle Swarm Optimization resampling for vision tracking

Zhao, J., & Li, Z. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.05.086 · Cited by 75

Real-time 3D pointing gesture recognition for mobile robots with cascade HMM and particle filter

Park, C.-B., & Lee, S. (2010) · Image and Vision Computing · doi:10.1016/j.imavis.2010.08.006 · Cited by 75

Probabilistic white matter fiber tracking using particle filtering and von Mises–Fisher sampling

Zhang, F., Hancock, E. R., Goodlett, C., & Gerig, G. (2008) · Medical Image Analysis · doi:10.1016/j.media.2008.05.001 · Cited by 75

An effective and fast soccer ball detection and tracking method

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Understanding dynamic scenes

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Hybrid ultrasound MRI for improved cardiac imaging and real‐time respiration control

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BM³E : Discriminative Density Propagation for Visual Tracking

Sminchisescu, C., Kanaujia, A., & Metaxas, D. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1111 · Cited by 74

The State of the Art in Multiple Object Tracking Under Occlusion in Video Sequences

Gabriel, P. F., Verly, J., Piater, J., & Genon, A. (2003) · Cited by 74

Particle Filters for Real-Time Fault Detection in Planetary Rovers

Dearden, R., & Clancy, D. (2001) · Cited by 74

Exemplar-based face recognition from video

Krüger, V., & Zhou, S. K. (2003) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2002.1004152 · Cited by 74

Population Monte Carlo algorithmsPreprint

Iba, Y. (2001) · Cited by 74

Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms

Pang, Y., & Ling, H. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.346 · Cited by 73

Exemplar-based human action pose correction and tagging

Shen, W., Deng, K., Bai, X., Leyvand, T., Guo, B., & Tu, Z. (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.2012.6247875 · Cited by 73

A Robot Application for Marine Vessel Inspection

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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

Evaluation of Visual Tracking in Extremely Low Frame Rate Wide Area Motion Imagery

Ling, H., Wu, Y., Blasch, E., Chen, G., Lang, H., & Li, B. (2012) · Cited by 73

Hybrid System State Tracking and Fault Detection Using Particle Filters

Tafazoli, S., & Sun, X. (2006) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2006.883193 · Cited by 73

An approach to multi-modal human–machine interaction for intelligent service robots

Böhme, H.-J., Wilhelm, T., Key, J., Schauer, C., Schröter, C., Groß, H., & Hempel, T. (2003) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(03)00012-5 · Cited by 73

Vehicle Detection under Various Lighting Conditions by Incorporating Particle Filter

Chan, Y.-M., Huang, S.-S., Fu, L., & Hsiao, P. (2007) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2007.4357745 · Cited by 73

A Survey on Moving Object Tracking in Video

Deori, B., & Thounaojam, D. M. (2014) · International Journal on Information Theory · doi:10.5121/ijit.2014.3304 · Cited by 73

A Particle Filtering Approach to Joint Passive Radar Tracking and Target Classification

Herman, S. M. (2002) · Cited by 73

Probabilistic Multiple Cue Integration for Particle Filter Based Tracking

Shen, C., van den Hengel, A., Dick, A., & Lakes, M. (2003) · Cited by 73

Active inference, eye movements and oculomotor delays

Perrinet, L., Adams, R. A., & Friston, K. J. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0620-8 · Cited by 72

Event-based particle filtering for robot self-localization

Weikersdorfer, D., & Conradt, J. (2012) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2012.6491077 · Cited by 72

An evolutionary particle filter with the immune genetic algorithm for intelligent video target tracking

Han, H., Ding, Y., Hao, K., & Liang, X. G. (2011) · Computers & Mathematics with Applications · doi:10.1016/j.camwa.2011.06.050 · Cited by 72

An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking

Bălan, A. O., & Black, M. J. (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.2006.52 · Cited by 72

Representing cyclic human motion using functional analysis

Ormoneit, D., Black, M. J., Hastie, T. J., & Kjellström, H. (2005) · Image and Vision Computing · doi:10.1016/j.imavis.2005.09.004 · Cited by 72

Robust guidewire tracking in fluoroscopy

Wang, P., Chen, T., Zhu, Y., Zhang, W., Zhou, S. K., & Comaniciu, D. (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.2009.5206692 · Cited by 72

Multiple person and speaker activity tracking with a particle filter

Checka, N., Wilson, K., Siracusa, M. R., & Darrell, T. (2004) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2004.1327252 · Cited by 72

Real-time nonparametric background subtraction with tracking-based foreground update

Berjón, D., Cuevas, C., Morán, F., & Garcia, N. N. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.09.009 · Cited by 72

Incremental density approximation and kernel-based Bayesian filtering for object tracking

Han, B., Comaniciu, D., Zhu, Y., & Davis, L. S. (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.2004.1315092 · Cited by 72

Three-dimensional image processing in the future of immersive media

Isgrò, F., Trucco, E., Kauff, P. P., & Schreer, O. (2004) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2004.823389 · Cited by 72

Vision-based interfaces for mobility

Kölsch, M., Turk, M., & Höllerer, T. (2004) · EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) · doi:10.1109/mobiq.2004.1331713 · Cited by 72

Color-Based Road Sign Detection and Tracking

Lopez, L. D., & Fuentes, O. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74260-9_101 · Cited by 71

On pedestrian detection and tracking in infrared videos

Wang, J., Chen, D., Chen, H., & Yang, J. (2011) · Pattern Recognition Letters · doi:10.1016/j.patrec.2011.12.011 · Cited by 71

Fuzzy Qualitative Human Motion Analysis

Chan, C. S., & Liu, H. (2009) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2009.2016553 · Cited by 71

A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking

Lin, W., & Liu, Y. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1053 · Cited by 71

Tracking Multiple People Under Occlusion Using MultipleCameras

Chang, T.-H., Gong, S., & Ong, E.-J. (2000) · British Machine Vision Conference (BMVC) · doi:10.5244/c.14.57 · Cited by 71

Kinematics-based tracking of human walking in monocular video sequences

Ning, H., Tan, T., Wang, L., & Hu, W. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.01.001 · Cited by 71

Real-time tracking of highly articulated structures in the presence of noisy measurements

Drummond, T. W., & Cipolla, R. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937642 · Cited by 71

Real-time people tracking for mobile robots using thermal vision

Treptow, A., Cielniak, G., & Duckett, T. (2006) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2006.04.013 · Cited by 70

Characterization of Biological Processes through Automated Image Analysis

Rittscher, J. (2010) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-070909-105235 · Cited by 70

Real-time lane detection by using multiple cues

Zhu, T., Kim, J., & Kang, D. (2010) · International Conference on Control, Automation and Systems (ICCAS) · doi:10.1109/iccas.2010.5669923 · Cited by 70

An experimental comparison of online object-tracking algorithms

Wang, Q., Chen, F., Xu, W., & Yang, M. (2011) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.895965 · Cited by 69

A Bayesian approach to image-based visual hull reconstruction

Grauman, K. L., Shakhnarovich, G., & Darrell, 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.2003.1211353 · Cited by 69

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

Koller-Meier, E., & Ade, F. (2003) · European Conference on Mobile Robots · doi:10.1109/eurbot.1999.827624 · Cited by 34

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