CONDENSATION—Conditional Density Propagation for Visual Tracking

Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography

Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893

Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.

Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1984.4767596 · Cited by 17,949

Snakes: Active contour models

Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,330

Numerical recipes in C

Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (1994) · Cited by 15,411

Linear Statistical Inference and its Applications

Rao, C. R. (1973) · Wiley series in probability and statistics · doi:10.1002/9780470316436 · Cited by 10,474

Novel approach to nonlinear/non-Gaussian Bayesian state estimation

Gordon, N., Salmond, D. J., & Smith, A. F. M. (1993) · IEE Proceedings F Radar and Signal Processing · doi:10.1049/ip-f-2.1993.0015 · Cited by 7,711

Fundamentals of speech recognition

Rabiner, L. R., & Juang, B.-H. F. (1993) · Cited by 7,680

Applied Optimal Estimation

GELB, A. (1974) · CERN Document Server (European Organization for Nuclear Research) · Cited by 6,405

Adaptive filtering, prediction and control

Ioannou, P. (1985) · Automatica · doi:10.1016/0005-1098(85)90014-7 · Cited by 4,465

Optimal Filtering

Anderson, B. D. O., Moore, J. B., & Eslami, M. (1982) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/tsmc.1982.4308806 · Cited by 3,665

Distributed Bayesian Multiple-Target Tracking in Crowded Environments Using Multiple Collaborative Cameras

Qu, W., Schonfeld, D., & Mohamed, M. A. (2006) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2007/38373 · Cited by 48

Automatic detection and tracking of pedestrians from a moving stereo rig

Konrad Schindler, B., Ess, A., Leibe, B., & Gool, L. V. (2010) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2010.06.006 · Cited by 48

Adaptive Fuzzy Particle Filter Tracker for a PTZ Camera in an IP Surveillance System

Varcheie, P. D. Z., & Bilodeau, G.-A. (2010) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2010.2084210 · Cited by 48

Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking

Qiao, H., Zhang, P., Zhang, B., & Zheng, S. (2009) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2031559 · Cited by 48

Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms

Lesage, D., Angelini, E. D., Funka-Lea, G., & Isabelle Bloch, A. (2016) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2015.11.009 · Cited by 48

An adaptive-order particle filter for remaining useful life prediction of aviation piston pumps

Li, T., Wang, S., Shi, J., & Ma, Z. (2017) · Chinese Journal of Aeronautics · doi:10.1016/j.cja.2017.09.002 · Cited by 48

Tracking people in three dimensions using a hierarchical model of dynamics

Karaulova, I. A., Hall, P. M., & Marshall, A. D. (2002) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00059-8 · Cited by 48

Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker

Patwardhan, K. S., & Roy, S. D. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2006.04.002 · Cited by 48

A multi-modal system for tracking and analyzing faces on a mobile robot

Wilhelm, T., Böhme, H.-J., & Gross, H.-M. (2004) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2004.05.004 · Cited by 48

Real-time interactively distributed multi-object tracking using a magnetic-inertia potential model

Qu, W., Schonfeld, D., & Mohamed, M. A. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.199 · Cited by 48

Multicue HMM-UKF for real-time contour tracking

Chen, Y., Rui, Y., & Huang, T. S. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.190 · Cited by 48

Automated detection of unusual events on stairs

Snoek, J., Hoey, J., Stewart, L., Zemel, R. S., & Mihailidis, A. (2008) · Image and Vision Computing · doi:10.1016/j.imavis.2008.04.021 · Cited by 48

Object tracking using color interest points

Gabriel, P. F., Hayet, J.-B., Piater, J., & Verly, J. (2006) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2005.1577260 · Cited by 48

Episode Classification for the Analysis of Tissue/Instrument Interaction with Multiple Visual Cues

Lo, B. P. L., Darzi, A. W., & Yang, G. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39899-8_29 · Cited by 48

Robust visual tracking via patch based kernel correlation filters with adaptive multiple feature ensemble

Chen, W., Zhang, K., & Liu, Q. (2016) · Neurocomputing · doi:10.1016/j.neucom.2016.06.048 · Cited by 47

A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking

Du, W., & Piater, J. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88688-4_17 · Cited by 47

Weighted attentional blocks for probabilistic object tracking

Wu, H., Li, G., & Luo, X. (2013) · The Visual Computer · doi:10.1007/s00371-013-0823-3 · Cited by 47

Modified particle filter-based infrared pedestrian tracking

Wang, X., & Tang, Z. (2010) · Infrared Physics & Technology · doi:10.1016/j.infrared.2010.04.002 · Cited by 47

Conditional filters for image sequence-based tracking - application to point tracking

Arnaud, É., Mémin, É., & Cernuschi-Frías, B. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.838707 · Cited by 47

Classification of human body motion

Rittscher, J., & Blake, A. (1999) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791284 · Cited by 47

Trust-region methods for real-time tracking

Chen, H.-T., & Liu, T.-L. (2002) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2001.937697 · Cited by 47

Real-Time Tracking of Multiple Articulated Structures in Multiple Views

Drummond, T. W., & Cipolla, R. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45053-x_2 · Cited by 47

Camera Networks

Roy–Chowdhury, A. K., & Bi, S. (2012) · Synthesis lectures on computer vision · doi:10.2200/s00400ed1v01y201201cov004 · Cited by 46

Visual Tracking via Particle Filtering on the Affine Group

Kwon, J., & Park, F. C. (2009) · The International Journal of Robotics Research · doi:10.1177/0278364909345167 · Cited by 46

A vision-based system for automatic hand washing quality assessment

Llorca, D. F., Parra, I., Sotelo, M. Á., & Lacey, G. (2009) · Machine Vision and Applications · doi:10.1007/s00138-009-0234-7 · Cited by 46

Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics

Morariu, V. I., & Camps, O. (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.2006.189 · Cited by 46

Dynamic Active Contours for Visual Tracking

Niethammer, M., Tannenbaum, A., & Angenent, S. (2006) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2006.872837 · Cited by 46

Fast nonparametric belief propagation for real-time stereo articulated body tracking

Bernier, O., Cheung-Mon-Chan, P., & Bouguet, A. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2008.07.001 · Cited by 45

Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking

Yin, Y., Xu, D., Wang, X., & Bai, M. (2015) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2014.2363078 · Cited by 45

A Machine Vision-Based Gestural Interface for People With Upper Extremity Physical Impairments

Jiang, H., Duerstock, B. S., & Wachs, J. P. (2013) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2013.2270226 · Cited by 45

Structural similarity-based object tracking in multimodality surveillance videos

Łoza, A., Mihaylova, L. S., Bull, D., & Canagarajah, N. C. (2007) · Machine Vision and Applications · doi:10.1007/s00138-007-0107-x · Cited by 45

Scene Particles: Unregularized Particle-Based Scene Flow Estimation

Hadfield, S., & Bowden, R. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.162 · Cited by 45

Real-Time Object Tracking and Classification Using a Static Came ra

Johnsen, S., & Tews, A. D. (2009) · Cited by 45

Incremental Learning With Saliency Map for Moving Object Detection

Pang, Y., Li, Y., Li, X., & Pan, J. S. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2630731 · Cited by 45

Motion-compensated online object tracking for activity detection and crowd behavior analysis

Patel, A. S., Vyas, R., Vyas, O. P., Ojha, M., & Tiwari, V. (2022) · The Visual Computer · doi:10.1007/s00371-022-02469-3 · Cited by 45

Human posture recognition with a time-of-flight 3D sensor for in-home applications

Diraco, G., Leone, A., & Siciliano, P. A. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.08.007 · Cited by 45

People tracking based on motion model and motion constraints with automatic initialization

Ning, H., Tan, T., Wang, L., & Hu, W. (2004) · Pattern Recognition · doi:10.1016/s0031-3203(04)00047-0 · Cited by 45

Avoiding the "streetlight effect": tracking by exploring likelihood modes

Demirdjian, D., Taycher, L., Shakhnarovich, G., Grauman, K. L., & Darrell, T. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.41 · Cited by 45

How Does CONDENSATION Behave with a Finite Number of Samples?

King, O. D., & Forsyth, D. A. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45054-8_45 · Cited by 45

Affine real-time face tracking using a wavelet network

Krüger, V., Happe, A., & Sommer, G. (2003) · Analysis and Modeling of Faces and Gestures · doi:10.1109/ratfg.1999.799237 · Cited by 45

Inference in sensor networks: graphical models and particle methods

Willsky, A. S., Fisher, J. S., & Ihler, A. (2005) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 45

Thermal Vision for Sleep Apnea Monitoring

Fei, J., Pavlidis, I. T., & Murthy, J. N. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04271-3_131 · Cited by 44

Data association and occlusion handling for vision-based people tracking by mobile robots

Cielniak, G., Duckett, T., & Lilienthal, A. J. (2010) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2010.02.004 · Cited by 44

Performance evaluation of an intelligent video surveillance system – A case study

Venetianer, P. L., & Deng, H. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.07.010 · Cited by 44

CELL SEGMENTATION AND TRACKING USING TEXTURE-ADAPTIVE SNAKES

Wang, X., He, W., Metaxas, D., Mathew, R., & White, E. (2007) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2007.356798 · Cited by 44

Real-time cooperative multi-target tracking by communicating active vision agents

Ukita, N., & Matsuyama, T. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.07.004 · Cited by 44

Robust template tracking with drift correction

Schreiber, D. (2007) · Pattern Recognition Letters · doi:10.1016/j.patrec.2007.03.007 · Cited by 44

Viewpoint invariant exemplar-based 3D human tracking

Ong, E.-J., Micilotta, A. S., Bowden, R., & Hilton, A. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.004 · Cited by 44

Multi-cue 3D object recognition in knowledge-based vision-guided humanoid robot system

Okada, K., KOJIMA, M., Tokutsu, S., Maki, T., Mori, Y., & Inaba, M. (2007) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2007.4399245 · Cited by 44

QInfer: Statistical inference software for quantum applications

Granade, C., Ferrie, C., Hincks, I., Casagrande, S., Alexander, T., Gross, J. A., Kononenko, M., & Sanders, Y. R. (2017) · Quantum · doi:10.22331/q-2017-04-25-5 · Cited by 44

Face localization via hierarchical CONDENSATION with fisher boosting feature selection

Tu, J., Zhang, Z., Zeng, Z., & Huang, T. 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.2004.1315235 · Cited by 44

On the design of a single lane-markings detectors regardless the on-board camera's position

Ieng, S.-S., Tarel, J., & Labayrade, R. (2004) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2003.1212974 · Cited by 44

Fragments based tracking with adaptive cue integration

Erdem, E., Dubuisson, S., & Isabelle Bloch, A. (2012) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2012.03.005 · Cited by 43

Learning Generative Models for Multi-Activity Body Pose Estimation

Jaeggli, T., Koller-Meier, E., & Gool, L. V. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-008-0158-0 · Cited by 43

Autonomous acquisition of visual multi-view object representations for object recognition on a humanoid robot

Welke, K., Issac, J., Schiebener, D., Asfour, T., & Dillmann, R. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509328 · Cited by 43

Monocular model-based 3D vehicle tracking for autonomous vehicles in unstructured environment

Manz, M., Luettel, T., Hundelshausen, F. V., & Wuensche, H. (2011) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2011.5979581 · Cited by 43

A Bus-Based SoC Architecture for Flexible Module Placement on Reconfigurable FPGAs

Oetken, A., Wildermann, S., Teich, J., & Koch, D. (2010) · International Conference on Field Programmable Logic and Applications (FPL) · doi:10.1109/fpl.2010.54 · Cited by 43

Multi-Environment Model Estimation for Motility Analysis of Caenorhabditis elegans

Sznitman, R., Gupta, M., Hager, G. D., Arratia, P. E., & Sznitman, J. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011631 · Cited by 43

Particle Filter With a Mode Tracker for Visual Tracking Across Illumination Changes

Das, S., Kale, A. A., & Vaswani, N. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2174370 · Cited by 43

Homogeneity Localization Using Particle Filters With Application to Noise Estimation

Ghazal, M. A., & Amer, A. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2097272 · Cited by 43

Multi-modal sensor fusion using a probabilistic aggregation scheme for people detection and tracking

Martin, C., Schaffernicht, E., Scheidig, A., & Gross, H.-M. (2006) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2006.04.012 · Cited by 43

Structure-Regularized Compressive Tracking With Online Data-Driven Sampling

Guo, Q., Feng, W., Zhou, C., Pun, C., & Wu, B. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2745205 · Cited by 43

Hidden Markov model for human to computer interaction: a study on human hand gesture recognition

Bilal, S., Akmeliawati, R., Shafie, A. A., & Salami, M. J. E. (2011) · Artificial Intelligence Review · doi:10.1007/s10462-011-9292-0 · Cited by 43

Silhouette lookup for monocular 3D pose tracking

Howe, N. R. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2005.10.006 · Cited by 43

Real-Time Bayesian 3-D Pose Tracking

Wang, Q., Zhang, W., Tang, X., & Shum, H. (2006) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2006.885727 · Cited by 43

Color-histogram-based tracking at 2000 fps

Ishii, I., Tatebe, T., Gu, Q., & Takaki, T. (2012) · Journal of Electronic Imaging · doi:10.1117/1.jei.21.1.013010 · Cited by 43

Learning Local Objective Functions for Robust Face Model Fitting

Wimmer, M., Stulp, F., Pietzsch, S., & Radig, B. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.70793 · Cited by 43

Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes

Thrun, S., Langford, J. C., & Fox, D. (1999) · Cited by 43

3D Human Motion Analysis in Monocular Video Techniques and Challenges

Sminchisescu, C. (2006) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2006.3 · Cited by 43

Feature-level fusion of laser scanner and video data for advanced driver assistance systems

Kaempchen, N. (2007) · OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University) · doi:10.18725/oparu-382 · Cited by 43

Dynamic Objectness for Adaptive Tracking

Stalder, S., Gräbner, H., & Gool, L. V. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-37431-9_4 · Cited by 42

Blending in with the Shoal: Robotic Fish Swarms for Investigating Strategies of Group Formation in Guppies

Landgraf, T., Nguyen, H., Schröer, J., Szengel, A., Clément, R. J. G., Bierbach, D., & Krause, J. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09435-9_16 · Cited by 42

Visual lane analysis and higher-order tasks: a concise review

Shin, B.-S., Xu, Z., & Klette, R. (2014) · Machine Vision and Applications · doi:10.1007/s00138-014-0611-8 · Cited by 42

Revisiting 3D geometric models for accurate object shape and pose

Zia, M. Z., Stark, M. M., Schiele, B., & Konrad Schindler, B. (2011) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2011.6130294 · Cited by 42

Improved Hand Tracking System

Guo, J.-M., Liu, Y.-F., Chang, C., & Nguyen, H.-S. (2011) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2011.2177192 · Cited by 42

PageRank Tracker: From Ranking to Tracking

Gong, C., Fu, K., Łoza, A., Wu, Q., Liu, J., & Yang, J. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2013.2274516 · Cited by 42

3D Pose tracking of walker users' lower limb with a structured-light camera on a moving platform

Hu, R. Z.-L., Hartfiel, A., Tung, J. Y., Fakih, A. H., Hoey, J., & Poupart, P. (2011) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2011.5981732 · Cited by 42

Robust Online Multiobject Tracking With Data Association and Track Management

Bae, S., & Yoon, K. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2320821 · Cited by 42

Multi sensor 3D indoor localisation

Ebner, F., Fetzer, T., Deinzer, F., Köping, L., & Grzegorzek, M. (2015) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2015.7346772 · Cited by 42

Particle Filters for Rover Fault Diagnosis

Verma, V., Gordon, G., Simmons, R. G., & Thrun, S. (2004) · Cited by 42

Human Posture Tracking and Classification through Stereo Vision and 3D Model Matching

Pellegrini, S., & Iocchi, L. (2008) · EURASIP Journal on Image and Video Processing · doi:10.1155/2008/476151 · Cited by 42

Multi-camera tele-immersion system with real-time model driven data compression

Lien, J., Kurillo, G., & Bajcsy, R. K. (2009) · The Visual Computer · doi:10.1007/s00371-009-0367-8 · Cited by 42

Distributed attention in large scale video sensor networks

Chu, M. (2004) · doi:10.1049/ic:20040100 · Cited by 42

Driver drowsiness detection system under infrared illumination for an intelligent vehicle

Flores-Calero, M. J., Armingol, J. M., & de la Escalera, A. (2011) · IET Intelligent Transport Systems · doi:10.1049/iet-its.2009.0090 · Cited by 42

A Fast Biologically Inspired Algorithm for Recurrent Motion Estimation

Bayerl, P., & Heiko Neumann, B. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.24 · Cited by 42

Robust location using system dynamics and motion constraints

Gentile, C., & Klein-Berndt, L. (2004) · International Conference on Communications · doi:10.1109/icc.2004.1312734 · Cited by 42

Real-Time Camera Tracking Using Known 3D Models and a Particle Filter

Pupilli, M., & Calway, A. D. (2006) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2006.959 · Cited by 42

A probabilistic framework for combining tracking algorithms

Leichter, I., Lindenbaum, M., & Rivlin, E. (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.2004.1315198 · Cited by 42

Cognitive Robotics. Grounding symbols through sensorimotor integration.

MacDorman, K. F. (1999) · Journal of the Robotics Society of Japan · doi:10.7210/jrsj.17.20 · Cited by 42

Visual Saliency Based Object Tracking

Zhang, G., Yuan, Z., Zheng, N., Sheng, X., & Liu, T. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12304-7_19 · Cited by 41

GPU-Accelerated Real-Time Tracking of Full-Body Motion With Multi-Layer Search

Zhang, Z., Seah, H. S., Quah, C. K., & Sun, J. (2012) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2012.2225040 · Cited by 41

Comparison of stochastic filtering methods for 3D tracking

Salih, Y., & Malik, A. S. (2011) · Pattern Recognition · doi:10.1016/j.patcog.2011.03.027 · Cited by 41

Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance

Choi, J.-W., Moon, D., & Yoo, J. (2015) · ETRI Journal · doi:10.4218/etrij.15.0114.0629 · Cited by 41

Multi-person tracking from sparse 3D trajectories in a camera sensor network

Heath, K., & Guibas, L. J. (2008) · ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) · doi:10.1109/icdsc.2008.4635679 · Cited by 41

Multitarget Visual Tracking Based Effective Surveillance With Cooperation of Multiple Active Cameras

Huang, C., & Fu, L. (2010) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2050878 · Cited by 41

Face detection and tracking using a Boosted Adaptive Particle Filter

Zheng, W., & Bhandarkar, S. M. (2008) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2008.09.001 · Cited by 41

Robust multi-object tracking via cross-domain contextual information for sports video analysis

Zhang, T., Ghanem, B., & Ahuja, N. (2012) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2012.6288050 · Cited by 41

A Method for Predicting the Remaining Useful Life of Lithium-Ion Batteries Based on Particle Filter Using Kendall Rank Correlation Coefficient

Gao, D., Zhou, Y. H., Wang, T., & Wang, Y. (2020) · Energies · doi:10.3390/en13164183 · Cited by 41

Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking

Wang, H., Suter, D., & Konrad Schindler, B. (2006) · Lecture notes in computer science · doi:10.1007/11744078_47 · Cited by 41

Activity Recognition using Visual Tracking and RFID

Krahnstoever, N. O., Rittscher, J., Tu, P., Chean, K. L., & Tomlinson, T. (2005) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/acvmot.2005.17 · Cited by 41

Contour tracking by stochastic propagation of conditional density

Isard, M., & Blake, A. (1996) · Lecture notes in computer science · doi:10.1007/bfb0015549 · Cited by 887

Visual Motion Analysis by Probabilistic Propagation of Conditional Density

Isard, M., Wildenberg, A., Kaucic, B., Davidson, C., North, B., Bascle, B., & Sullivan, J. (1998)

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