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

General object tracking with a component-based target descriptor

Frintrop, S. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509638 · Cited by 41

Pre-Attentive and Attentive Detection of Humans in Wide-Field Scenes

Elder, J. H., Prince, S. J. D., Hou, Y., Sizintsev, M., & Olevskiy, E. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-8892-7 · Cited by 41

Multi Sensor Fusion in Robot Assembly Using Particle Filters

Thomas, U., Molkenstruck, S., Iser, R., & Wahl, F. M. (2007) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2007.364067 · Cited by 41

Tracking deformable objects with unscented Kalman filtering and geometric active contours

Dambreville, S., Yogesh Rathi, A., & Tannenbaum, A. (2006) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2006.1657152 · Cited by 41

Tracking nonparameterized object contours in video

Nguyen, H. T., Worring, M., van den Boomgaard, R., & Smeulders, A. W. M. (2002) · IEEE Transactions on Image Processing · doi:10.1109/tip.2002.802522 · Cited by 41

Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models

Chen, D., & Yang, J. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1134 · Cited by 41

Multimodal 3-D tracking and event detection via the particle filter

Zotkin, D. N., Ramani Duraiswami, B., & Davis, L. S. (2002) · doi:10.1109/event.2001.938862 · Cited by 41

Robust Visual Tracking via Sparsity-Induced Subspace Learning

Sui, Y., Zhang, S., & Zhang, L. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2462076 · Cited by 40

Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering

Karavasilis, V., Nikou, C., & Likas, A. C. (2010) · Image and Vision Computing · doi:10.1016/j.imavis.2010.12.002 · Cited by 40

Multi-cue-based CamShift guided particle filter tracking

Yin, M., Zhang, J., Sun, H., & Gu, W.-X. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.11.111 · Cited by 40

A compact association of particle filtering and kernel based object tracking

Yao, A., Lin, X., Wang, G., & Yu, S. (2012) · Pattern Recognition · doi:10.1016/j.patcog.2012.01.016 · Cited by 40

Quantum bootstrapping via compressed quantum Hamiltonian learning

Wiebe, N., Granade, C., & Cory, D. G. (2015) · New Journal of Physics · doi:10.1088/1367-2630/17/2/022005 · Cited by 40

Occlusion Reasoning for Tracking Multiple People

Hu, W., Xue, Z., Hu, M. Q., & Maybank, S. J. (2008) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2008.2009249 · Cited by 40

The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models

Vogler, C., Li, Z., Kanaujia, A., Goldenstein, S. K., & Metaxas, D. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409015 · Cited by 40

Mean-Shift and Sparse Sampling-Based SMC-PHD Filtering for Audio Informed Visual Speaker Tracking

Kılıç, V., Barnard, M., Wang, W., Hilton, A., & Kittler, J. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2599150 · Cited by 40

A particle filter-based approach for tracking undersea narrow telecommunication cables

Ortiz, A., Antich, J., & Oliver, G. (2009) · Machine Vision and Applications · doi:10.1007/s00138-009-0199-6 · Cited by 40

A Monte Carlo approach to rolling leukocyte tracking in vivo

Cui, J., Acton, S. T., & Lin, Z. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.05.006 · Cited by 40

Audio-video event recognition system for public transport security

Vu, V.-T., Brémond, F., Davini, G., Thonnat, M., Pham, Q.-C., Allezard, N., Sayd, P., Rouas, J.-L., Ambellouis, S., & Flancquart, A. (2006) · IET Conference on Crime and Security · doi:10.1049/ic:20060345 · Cited by 40

Real-time edge-enhanced dynamic correlation and predictive open-loop car-following control for robust tracking

Ahmed, J., Jafri, M. N., Shah, M. A., & Akbar, M. A. (2007) · Machine Vision and Applications · doi:10.1007/s00138-007-0072-4 · Cited by 40

Measuring the velocity of fluorescently labelled red blood cells with a keyhole tracking algorithm

Reyes‐Aldasoro, C. C., AKERMAN, S., & Tozer, G. M. (2007) · Journal of Microscopy · doi:10.1111/j.1365-2818.2007.01877.x · Cited by 40

Evaluation of tracking methods for human-computer interaction

Fagiani, C., Betke, M., & Gips, J. (2003) · Proceedings · doi:10.1109/acv.2002.1182168 · Cited by 40

An information fusion demonstrator for tactical intelligence processing in network-based defense

Ahlberg, S., Hörling, P., Johansson, K., Jöred, K., Kjellström, H., Mårtenson, C., Neider, G., Schubert, J., Svenson, P., Svensson, P., et al. (2006) · Information Fusion · doi:10.1016/j.inffus.2005.11.002 · Cited by 40

Automatic Multi-Player Detection and Tracking in Broadcast Sports Video using Support Vector Machine and Particle Filter

Zhu, G., Xu, C., Huang, Q., & Gao, W. (2006) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2006.262859 · Cited by 40

Improvement of Accuracy for 2D Marker-Based Tracking Using Particle Filter

Uematsu, Y., & Saito, H. (2007) · International Conference on Artificial Reality and Telexistence · doi:10.1109/icat.2007.16 · Cited by 40

Object tracking by adaptive feature extraction

Han, B., & Davis, L. S. (2005) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2004.1421349 · Cited by 40

Automatic road extraction from aerial images by probabilistic contour tracking

Bicego, M., Dalfini, S., Vernazza, G. L., & Murino, V. (2004) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2003.1247312 · Cited by 40

The Contracting Curve Density Algorithm: Fitting Parametric Curve Models to Images Using Local Self-Adapting Separation Criteria

Hanek, R., & Beetz, M. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000025799.44214.29 · Cited by 40

Bayesian structure from motion

Forsyth, D. A., Ioffe, S., & Haddon, J. (1999) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791288 · Cited by 40

Extended Target Tracking Using Polynomials With Applications to Road-Map Estimation

Lundquist, C., Orguner, U., & Gustafsson, F. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2081983 · Cited by 39

A particle swarm optimisation algorithm with interactive swarms for tracking multiple targets

Thida, M., Eng, H., Monekosso, D., & Remagnino, P. (2012) · Applied Soft Computing · doi:10.1016/j.asoc.2012.05.019 · Cited by 39

A Bayesian plan-view map based approach for multiple-person detection and tracking

Muñoz‐Salinas, R. (2008) · Pattern Recognition · doi:10.1016/j.patcog.2008.06.013 · Cited by 39

Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling

Zhou, X., & Lu, Y. (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.2010.5539856 · Cited by 39

Co-training framework of generative and discriminative trackers with partial occlusion handling

Dinh, T. B., & Medioni, G. (2011) · Proceedings · doi:10.1109/wacv.2011.5711565 · Cited by 39

Dynamic Proposal Variance and Optimal Particle Allocation in Particle Filtering for Video Tracking

Pan, P., & Schonfeld, D. (2008) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2008.928889 · Cited by 39

Object tracking using incremental 2D-LDA learning and Bayes inference

Li, G., Liang, D., Huang, Q., Jiang, S., & Gao, W. (2008) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2008.4712068 · Cited by 39

Modelling the 3D pose of a human arm and the shoulder complex utilising only two parameters

Moeslund, T. B., Madsen, C. B., & Granum, E. (2005) · Integrated Computer-Aided Engineering · doi:10.3233/ica-2005-12203 · Cited by 39

EYEWATCHME—3D Hand and object tracking for inside out activity analysis

Sun, L., Klank, U., & Beetz, M. (2009) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2009.5204358 · Cited by 39

Fault Detection and Diagnosis for Aeronautic and Aerospace Missions

Henry, D., Simani, S., & PATTON, R. J. (2010) · Lecture notes in control and information sciences · doi:10.1007/978-3-642-11690-2_3 · Cited by 39

Automatic Detection and Tracking of Abandoned Objects

Schiele, B., & Spengler, M. (2003) · Max Planck Digital Library · Cited by 39

Track and Cut: Simultaneous Tracking and Segmentation of Multiple Objects with Graph Cuts

Bugeau, A., & Pérez, P. (2008) · EURASIP Journal on Image and Video Processing · doi:10.1155/2008/317278 · Cited by 39

A General Framework for Combining Visual Trackers – The "Black Boxes" Approach

Leichter, I., Lindenbaum, M., & Rivlin, E. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-5568-2 · Cited by 39

Online updating appearance generative mixture model for meanshift tracking

Tu, J., Hai, T., & Huang, T. S. (2008) · Machine Vision and Applications · doi:10.1007/s00138-007-0115-x · Cited by 39

Parametric contour tracking using unscented Kalman filter

Chen, Y., Huang, T. S., & Rui, Y. (2003) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2002.1039045 · Cited by 39

Bayesian Time-of-Flight for Realtime Shape, Illumination and Albedo

Adam, A., Dann, C., Yair, O., Mazor, S., & Nowozin, S. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2567379 · Cited by 39

Time‐Lapse Imaging

Meijering, E. H. W., Smal, I., Dzyubachyk, O., & Olivo‐Marín, J. (2008) · Elsevier eBooks · doi:10.1016/b978-0-12-372578-3.00015-5 · Cited by 39

Statistical cue integration in DAG deformable models

Goldenstein, S., Vogler, C., & Metaxas, D. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1206510 · Cited by 39

Tracking Iris Contour with a 3D Eye-Model for Gaze Estimation

Wu, H., Yosuke, K., Wada, T., Kato, T., & Chen, Q. (2007) · Springer eBooks · doi:10.1007/978-3-540-76386-4_65 · Cited by 38

Swiss-cheese extended

Große-Puppendahl, T., Braun, A., Kamieth, F., & Kuijper, A. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466186 · Cited by 38

A Study on Smoothing for Particle-Filtered 3D Human Body Tracking

Peursum, P., Venkatesh, S., & WEST, G. A. W. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0205-5 · Cited by 38

Robust Visual Tracking Using an Effective Appearance Model Based on Sparse Coding

Zhang, S., Yao, H., Sun, X., & Liu, S. (2012) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/2168752.2168757 · Cited by 38

Laser Scanner-based End-effector Tracking and Joint Variable Extraction for Heavy Machinery

Kashani, A. H., Owen, W. S., Himmelman, N. P., Lawrence, P. D., & Hall, R. A. (2010) · The International Journal of Robotics Research · doi:10.1177/0278364909359316 · Cited by 38

Hierarchical Kalman-particle filter with adaptation to motion changes for object tracking

Yin, S., Na, J. H., Choi, J. Y., & Oh, S. (2011) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2011.02.010 · Cited by 38

Lie to Me: Deceit detection via online behavioral learning

Bhaskaran, N., Nwogu, I., Frank, M. G., & Govindaraju, V. (2011) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fg.2011.5771407 · Cited by 38

Adaptive Mean-Shift Tracking With Auxiliary Particles

Wang, J., & Yagi, Y. (2009) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2021482 · Cited by 38

A local-motion-based probabilistic model for visual tracking

Kristan, M., Perš, J., Kovačič, S., & Leonardis, A. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.01.002 · Cited by 38

Real time appearance based hand tracking

Donoser, M., & Bischof, H. (2008) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2008.4761485 · Cited by 38

Discrete tracking of parametrized curves

Heibela, T. H., Glockera, B., Grohera, M., Nikos Paragios, A., Komodakis, N., & Navaba, N. (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.2009.5206714 · Cited by 38

Challenges of Human Behavior Understanding

Salah, A. A., Gevers, T., Sebe, N., & Vinciarelli, A. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-14715-9_1 · Cited by 38

Real-time drowsiness detection system for an intelligent vehicle

Flores-Calero, M. J., Armingol, J. M., & de la Escalera, A. (2008) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2008.4621125 · Cited by 38

iTASC: a tool for multi-sensor integration in robot manipulation

Smits, R., Laet, T. D., Claes, K., Bruyninckx, H., & Schutter, J. D. (2008) · IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) · doi:10.1109/mfi.2008.4648032 · Cited by 38

Improving particle filter with support vector regression for efficient visual tracking

Zhu, G., Liang, D., Liu, Y., Huang, Q., & Gao, W. Z. (2005) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2005.1530082 · Cited by 38

Patient performance evaluation using Kinect and Monte Carlo-based finger tracking

Cordella, F., Corato, F. D., Zollo, L., Siciliano, B., & van der Smagt, P. (2012) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2012.6290794 · Cited by 37

Adaptive NormalHedge for robust visual tracking

Zhang, S., Zhou, H., Yao, H., Zhang, Y., Wang, K., & Zhang, J. (2014) · Signal Processing · doi:10.1016/j.sigpro.2014.08.027 · Cited by 37

Real-time multi-scale tracking based on compressive sensing

Yun-xia, W., Jia, N., & Jiping, S. (2014) · The Visual Computer · doi:10.1007/s00371-014-0942-5 · Cited by 37

A hardware-software framework for high-reliability people fall detection

Grassi, M., Lombardi, A., Rescio, G., Malcovati, P., Malfatti, M., Lorenzo Gonzo, A., Leone, A., Diraco, G., Distante, C., Siciliano, P. A., et al. (2008) · Proceedings of IEEE Sensors/Proceedings of IEEE Sensors ... · doi:10.1109/icsens.2008.4716690 · Cited by 37

Detection and classification of road lanes with a frequency analysis

Collado, J. M., Hilario, C., de la Escalera, A., & Armingol, J. M. (2005) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2005.1505081 · Cited by 37

Using vision, acoustics, and natural language for disambiguation

Fransen, B. R., Morariu, V. I., Martinson, E., Blisard, S. N., Marge, M., Thomas, S. C., Schultz, A. C., & Perzanowski, D. (2007) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/1228716.1228727 · Cited by 37

A consensus sampling technique for fast and robust model fitting

Cheng, C.-M., & Lai, S. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.01.007 · Cited by 37

Accurate Head Pose Tracking in Low Resolution Video

Tu, J., Huang, T. S., & Hai, T. (2006) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/fgr.2006.19 · Cited by 37

Fast stochastic optimization for articulated structure tracking

Bray, M., Koller-Meier, E., Schraudolph, N. N., & Gool, L. V. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2005.10.009 · Cited by 37

MCMC Particle Filter for Real-Time Visual Tracking of Vehicles

Bardet, F., & Château, T. (2008) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2008.4732627 · Cited by 37

Recognizing hand gesture using motion trajectories

Yang, M., & Ahuja, N. (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.1999.786979 · Cited by 37

Statistical Models of Visual Shape and Motion

Blake, A., Isard, M., & MacCormick, J. (2001) · Springer eBooks · doi:10.1007/978-1-4757-3437-9_16 · Cited by 37

Adaptive Probabilistic Tracking Embedded in a Smart Camera

Fleck, S., & Straßer, W. (2006) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvpr.2005.404 · Cited by 37

An approach to automatic recognition of spontaneous facial actions

Braathen, B., Bartlett, M. S., Littlewort, G. C., Smith, E., & Movellan, J. R. (2003) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2002.1004180 · Cited by 37

Face detection in a video sequence - a temporal approach

Mikolajczyk, K., Choudhury, R., & Schmid, C. (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.2001.990931 · Cited by 37

Visual servoing of a robotic endoscope holder based on surgical instrument tracking

Agustinos, A., Wolf, R., Long, J., Cinquin, P., & Voros, S. (2014) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2014.6913744 · Cited by 36

Tracking objects using shape context matching

Liu, Z., Shen, H., Feng, G., & Hu, D. (2011) · Neurocomputing · doi:10.1016/j.neucom.2011.11.012 · Cited by 36

Statistical Shape Models for 3D Medical Image Segmentation

Heimann, T. (2008) · Cited by 36

Interactive robot theatre

Breazeal, C., Brooks, A., Gray, J., Hancher, M., Kidd, C. D., McBean, J., Stiehl, D., & Strickon, J. A. (2004) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2003.1249722 · Cited by 36

Object Tracking by Particle Filtering Techniques in Video Sequences

Mihaylova, L. S., Brasnett, P., Canagarajah, N. C., & Bull, D. (2007) · Cited by 36

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

Stolkin, R., Greig, A. R., Hodgetts, M., & Gilby, J. (2007) · Image and Vision Computing · doi:10.1016/j.imavis.2007.06.008 · Cited by 36

Exemplar-Based Human Action Pose Correction

Shen, W., Deng, K., Bai, X., Leyvand, T., Guo, B., & Tu, Z. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2013.2279071 · Cited by 36

Computer vision methods for optical microscopes

Boissenin, M., Wedekind, J., Selvan, A., Amavasai, B. P., Caparrelli, F., & Travis, J. R. (2006) · Image and Vision Computing · doi:10.1016/j.imavis.2006.03.009 · Cited by 36

Application of backward propagation network for forecasting hardness and porosity of coatings by plasma spraying

Wang, L., Fang, J. C., Zhao, Z., & Zeng, H. P. (2006) · Surface and Coatings Technology · doi:10.1016/j.surfcoat.2006.07.088 · Cited by 36

Calibrating Distributed Camera Networks Using Belief Propagation

Devarajan, D., & Radke, R. J. (2006) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2007/60696 · Cited by 36

Automated Polar Ice Thickness Estimation From Radar Imagery

Gifford, C. M., Finyom, G., Jefferson, M., Reid, M. A., Akers, E. L., & Agah, A. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2048509 · Cited by 36

Hand gesture tracking system using Adaptive Kalman Filter

Asaari, M. S. M., & Suandi, S. A. (2010) · International Conference on Intelligent Systems Design and Applications (ISDA) · doi:10.1109/isda.2010.5687273 · Cited by 36

The ensemble particle filter (EnPF) in rainfall-runoff models

van Delft, G., Serafy, G. Y. E., & Heemink, A. W. (2009) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-008-0301-z · Cited by 36

Video Tracking Using Improved Chamfer Matching and Particle Filter

Wu, T., Ding, X., & Wang, S. (2007) · International Conference on Computational Intelligence and Multimedia Applications (ICCIMA) · doi:10.1109/iccima.2007.108 · Cited by 36

A Stochastic Filtering Technique for Fluid Flow Velocity Fields Tracking

Cuzol, A., & Mémin, É. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.152 · Cited by 36

Underwater human-robot interaction via biological motion identification

Sattar, J., & Dudek, G. (2009) · Robotics: Science and Systems · doi:10.15607/rss.2009.v.024 · Cited by 36

Efficient approximations to model-based joint tracking and recognition of continuous sign language

Dreuw, P., Forster, J., Thomas Deselaers, B., & Ney, H. (2008) · International Conference on Automatic Face and Gesture Recognition · doi:10.1109/afgr.2008.4813439 · Cited by 36

A probabilistic technique for simultaneous localization and door state estimation with mobile robots in dynamic environments

Avots, D., Lim, E., Thibaux, R., & Thrun, S. (2003) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/irds.2002.1041443 · Cited by 36

Robust tracking of soccer players based on data fusion

三須, 俊., Naemura, M., Zheng, W., Izumi, Y., & Fukui, K. (2003) · doi:10.1109/icpr.2002.1044792 · Cited by 36

Segmentation of Human Body Parts Using Deformable Triangulation

Hsieh, J.-W., Chuang, C.-H., Chen, S.-Y., Chen, C., & Fan, K. (2010) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/tsmca.2010.2040272 · Cited by 35

Structural SVM for visual localization and continuous state estimation

Ionescu, C., Bo, L., & Sminchisescu, C. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459346 · Cited by 35

Real-Time Correlation Filter Tracking by Efficient Dense Belief Propagation With Structure Preserving

Yao, R., Xia, S., Zhang, Z., & Zhang, Y. (2016) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2016.2631727 · Cited by 35

Robust edge-based 3D object tracking with direction-based pose validation

Wang, B., Zhong, F., & Qin, X. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6727-5 · Cited by 35

Graph Matching via Sequential Monte Carlo

Suh, Y., Cho, M., & Lee, K. M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33712-3_45 · Cited by 35

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