CONDENSATION—Conditional Density Propagation for Visual Tracking

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

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Optimal Filtering

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RGB-D object pose estimation in unstructured environments

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IMA-VR: A multimodal virtual training system for skills transfer in Industrial Maintenance and Assembly tasks

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Detecting Walking Gait Impairment with an Ear-worn Sensor

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A Two-Stage Dynamic Model for Visual Tracking

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Learning Scene Context for Multiple Object Tracking

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A Geometric Particle Filter for Template-Based Visual Tracking

Kwon, J., Lee, H. S., Park, F. C., & Lee, K. M. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.170 · Cited by 58

Accurate Face Alignment using Shape Constrained Markov Network

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Multi-scale visual tracking by sequential belief propagation

Hua, G., & Wu, Y. N. (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.2004.1315117 · Cited by 58

Particle filter re-detection for visual tracking via correlation filters

Yuan, D., Lu, X., Li, D., Liang, Y., & Zhang, X. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6800-0 · Cited by 57

Recent advances in methods for in situ root phenotyping

Li, A., Zhu, L., Xu, W., Liu, L., & Teng, G. (2022) · PeerJ · doi:10.7717/peerj.13638 · Cited by 57

On-Line Ensemble SVM for Robust Object Tracking

Tian, M., Zhang, W., & Liu, F. (2007) · Springer eBooks · doi:10.1007/978-3-540-76386-4_33 · Cited by 57

Robust infrared vehicle tracking across target pose change using L1 regularization

Ling, H., Bai, L., Blasch, E., & Mei, X. (2010) · International Conference on Information Fusion (FUSION) · doi:10.1109/icif.2010.5711902 · Cited by 57

Improving depth perception with motion parallax and its application in teleconferencing

Zhang, C., Yin, Z., & Florencio, D. A. F. (2009) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp.2009.5293309 · Cited by 57

Speech Enhancement and Recognition in Meetings With an Audio–Visual Sensor Array

Maganti, H. K., Gática-Pérez, D., & McCowan, I. A. (2007) · IEEE Transactions on Audio Speech and Language Processing · doi:10.1109/tasl.2007.906197 · Cited by 57

Robust human tracking based on multi-cue integration and mean-shift

Liu, H., Yu, Z., Zha, H., Zou, Y., & Zhang, L. (2008) · Pattern Recognition Letters · doi:10.1016/j.patrec.2008.10.008 · Cited by 57

3D hand tracking by rapid stochastic gradient descent using a skinning model

Bray, M., Koller-Meier, E., Müller, P., Gool, L. V., & Schraudolph, N. N. (2004) · Cited by 57

Segmentation Based Particle Filtering for Real-Time 2D Object Tracking

Belagiannis, V., Schubert, F., Navab, N., & Ilić, S. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33765-9_60 · Cited by 57

Data association for multi-object Tracking-by-Detection in multi-camera networks

Bredereck, M., Jiang, X., Körner, M., & Denzler, J. (2012) · Cited by 57

Kernel-Based Bayesian Filtering for Object Tracking

Han, B., Zhu, Y., Comaniciu, D., & Davis, L. 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.2005.199 · Cited by 57

Unified Detection and Tracking of Instruments during Retinal Microsurgery

Sznitman, R., Richa, R., Taylor, R. H., Jedynak, B., & Hager, G. D. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.209 · Cited by 56

Automatic skin segmentation and tracking in sign language recognition

Han, J., Awad, G., & Sutherland, A. (2009) · IET Computer Vision · doi:10.1049/iet-cvi:20080006 · Cited by 56

Online Empirical Evaluation of Tracking Algorithms

Wu, H., Sankaranarayanan, A. C., & Chellappa, R. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.135 · Cited by 56

Two-Stage Object Tracking Method Based on Kernel and Active Contour

Chen, Q., Sun, Q., Heng, P., & De-shen, X. (2010) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2010.2041819 · Cited by 56

Visual object tracking—classical and contemporary approaches

Ali, A., Jalil, A., Niu, J., Zhao, X., Rathore, S., Ahmed, J., & Iftikhar, M. A. (2015) · Frontiers of Computer Science · doi:10.1007/s11704-015-4246-3 · Cited by 56

The Influence of Interaction Technology on the Learning of Assembly Tasks Using Virtual Reality

Vélaz, Y., Rodríguez-Arce, J., Gutiérrez, T., Lozano-Rodero, A., & Suescun, Á. (2014) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4028588 · Cited by 56

Particle Filtering for Large-Dimensional State Spaces With Multimodal Observation Likelihoods

Vaswani, N. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.925969 · Cited by 56

A novel visual tracking method using bat algorithm

Gao, M., Shen, J., Yin, L., Liu, W., Zou, G., Li, H., & Fu, G. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.11.072 · Cited by 56

Towards Robust Multi-cue Integration for Visual Tracking

Spengler, M., & Schiele, B. (2001) · Lecture notes in computer science · doi:10.1007/3-540-48222-9_7 · Cited by 56

New sequential Monte Carlo methods for nonlinear dynamic systems

Guo, D., Wang, X., & Chen, R. (2005) · Statistics and Computing · doi:10.1007/s11222-005-6846-5 · Cited by 56

Target tracking with distributed sensors: The focus of attention problem

Isler, V., Khanna, S., Spletzer, J. R., & Taylor, C. J. (2005) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.10.008 · Cited by 56

A Stochastic Approach to Tracking Objects Across Multiple Cameras

Dick, A., & Brooks, M. J. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30549-1_15 · Cited by 55

A Multimodal ADAS System for Unmarked Urban Scenarios Based on Road Context Understanding

Guo, C., MEGURO, J., Kojima, Y., & Naito, T. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2368980 · Cited by 55

On-line learning parts-based representation via incremental orthogonal projective non-negative matrix factorization

Wang, D., & Lu, H. (2012) · Signal Processing · doi:10.1016/j.sigpro.2012.07.015 · Cited by 55

Tracking by Affine Kernel Transformations Using Color and Boundary Cues

Leichter, I., Lindenbaum, M., & Rivlin, E. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.194 · Cited by 55

Integrated region- and pixel-based approach to background modelling

Cristani, M., Bicego, M., & Murino, V. (2003) · IEEE Workshop on Motion and Video Computing · doi:10.1109/motion.2002.1182206 · Cited by 55

Target tracking in nonuniform illumination conditions using locally adaptive correlation filters

Diaz-Ramirez, V. H., Picos, K., & Kober, V. I. (2014) · Optics Communications · doi:10.1016/j.optcom.2014.02.063 · Cited by 54

Graph-Embedding-Based Learning for Robust Object Tracking

Zhang, X., Hu, W., Chen, S., & Maybank, S. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2013.2258306 · Cited by 54

Quantitative Analysis of Locomotive Behavior of Human Sperm Head and Tail

Liu, J., Leung, C., Lü, Z., & Sun, Y. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2227319 · Cited by 54

A Framework for 3D Model-Based Visual Tracking Using a GPU-Accelerated Particle Filter

Brown, J., & Capson, D. W. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.34 · Cited by 54

Multistage Particle Windows for Fast and Accurate Object Detection

Gualdi, G., Prati, A., & Cucchiara, R. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.247 · Cited by 54

Triple stereo vision system for safety monitoring of human-robot collaboration in cellular manufacturing

Tan, J. T. C., & Arai, T. (2011) · IEEE International Symposium on Assembly and Manufacturing · doi:10.1109/isam.2011.5942335 · Cited by 54

Boosting adaptive linear weak classifiers for online learning and tracking

Parag, T., Porikli, F., & Elgammal, A. (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.2008.4587556 · Cited by 54

Graph Based Discriminative Learning for Robust and Efficient Object Tracking

Zhang, X., Hu, W., Maybank, S., & Li, X. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409034 · Cited by 54

A Lane Detection Vision Module for Driver Assistance

Maček, K., Williams, B., Kolski, S., & Siegwart, R. (2004) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.3929/ethz-a-010085420 · Cited by 54

Detecting lameness using ‘Re-sampling Condensation’ and ‘multi-stream cyclic hidden Markov models’

Magee, D., & Boyle, R. D. (2002) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00047-1 · Cited by 54

ARGMode - Activity Recognition using Graphical Models

Hamid, R., Huang, Y., & Essa, I. A. (2003) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2003.10039 · Cited by 54

Video object tracking with feedback of performance measures

Erdem, Ç. E., Tekalp, A. M., & Sankur, B. (2003) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.811361 · Cited by 54

Fusion of perceptual cues for robust tracking of head pose and position

Sherrah, J., & Gong, S. (2001) · Pattern Recognition · doi:10.1016/s0031-3203(00)00091-1 · Cited by 54

Vision-based Monte Carlo self-localization for a mobile service robot acting as shopping assistant in a home store

Gross, H.-M., Koenig, A., Boehme, H.-J., & Schröter, C. (2003) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/irds.2002.1041398 · Cited by 54

Information theoretic focal length selection for real-time active 3D object tracking

Denzler, Zobel, & Niemann (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238372 · Cited by 53

Metric Learning Based Structural Appearance Model for Robust Visual Tracking

Wu, Y., Ma, B., Yang, M., Zhang, J., & Jia, Y. (2013) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2013.2291283 · Cited by 53

Multi-modal visual tracking: Review and experimental comparison

Zhang, P., Wang, D., & Lu, H. (2024) · Computational Visual Media · doi:10.1007/s41095-023-0345-5 · Cited by 53

Real-time 3-D human body tracking using learnt models of behaviour

Caillette, F., Galata, A., & Howard, T. L. J. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.05.005 · Cited by 53

Indoor navigation of a non-holonomic mobile robot using a visual memory

Courbon, J., Mezouar, Y., & Martinet, P. (2008) · Autonomous Robots · doi:10.1007/s10514-008-9093-8 · Cited by 53

Vision-Based Real-Time Lane Marking Detection and Tracking

Liu, W., Zhang, H., Duan, B., Yuan, H., & Zhao, H. W. (2008) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2008.4732527 · Cited by 53

Human tracking from a mobile agent: Optical flow and Kalman filter arbitration

Motai, Y., Jha, S. K., & Kruse, D. (2011) · Signal Processing Image Communication · doi:10.1016/j.image.2011.06.005 · Cited by 53

Object Detection and Tracking

Porikli, F., & Yılmaz, A. (2012) · Studies in computational intelligence · doi:10.1007/978-3-642-28598-1_1 · Cited by 53

Shape Particle Filtering for Image Segmentation

de Bruijne, M., & Nielsen, M. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30135-6_21 · Cited by 53

Robust Online Learned Spatio-Temporal Context Model for Visual Tracking

Wen, L., Cai, Z., Lei, Z., Yi, D., & Li, S. Z. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2293430 · Cited by 52

Tracking with Occlusions via Graph Cuts

Papadakis, N., & Bugeau, A. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.56 · Cited by 52

Nonlinear estimation of the BOLD signal

Johnston, L. A., Duff, E. P., Mareels, I., & Egan, G. F. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.024 · Cited by 52

Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework

Han, B., Zhu, Y., Comaniciu, D., & Davis, L. S. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2008.134 · Cited by 52

3D Head Tracking using the Particle Filter with Cascaded Classifiers

Kobayashi, Y., Sugimura, D., Hirasawa, K., Suzuki, N., Kage, H., Sato, Y., & Sugimoto, A. (2006) · British Machine Vision Conference (BMVC) · doi:10.5244/c.20.5 · Cited by 52

A Survey of Visual Tracking

Hou, Z., & Han, C. (2006) · Cited by 52

The particle filters and their applications

Oppenheim, G., Philippe, A., & de Rigal, J. (2007) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2007.09.010 · Cited by 52

Ultrasound‐guided MRI: Preliminary results using a motion phantom

Günther, M., & Feinberg, D. A. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20140 · Cited by 52

Automatic tracking of biological cells and compartments using particle filters and active contours

Shen, H., Nelson, G., Kennedy, S. M., Nelson, D. E., Johnson, J. R., Spiller, D. G., White, M., & Kell, D. B. (2005) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2005.07.007 · Cited by 52

Using multiple Gaussian hypotheses to represent probability distributions for mobile robot localization

Austin, D. J., & Jensfelt, P. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2000.844736 · Cited by 52

Particle filtering with multiple cues for object tracking in video sequences

Brasnett, P., Mihaylova, L. S., Canagarajah, N. C., & Bull, D. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.585882 · Cited by 51

Rao-Blackwellised particle methods for inference and identification

Lindsten, F. (2011) · Cited by 51

Human Localization via Multi-Cameras and Floor Sensors in Smart Home

Yu, C.-R., Wu, C.-L., Lu, C.-H., & Fu, L. (2006) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2006.384726 · Cited by 51

Vehicle detection and tracking in airborne videos by multi-motion layer analysis

Cao, X., Lan, J., Yan, P., & Li, X. (2011) · Machine Vision and Applications · doi:10.1007/s00138-011-0336-x · Cited by 51

Sensor Planning for Mobile Robot Localization---A Hierarchical Approach Using a Bayesian Network and a Particle Filter

Zhou, H., & Sakane, S. (2008) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.912091 · Cited by 51

Particle filter-based visual tracking with a first order dynamic model and uncertainty adaptation

Bimbo, A. D., & Dini, F. (2011) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2011.01.004 · Cited by 51

Estimating Skeletal Muscle Fascicle Curvature From B-Mode Ultrasound Image Sequences

Darby, J., Li, B., Costen, N. P., Loram, I. D., & Hodson-Tole, E. F. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2245328 · Cited by 51

Estimating the shape of targets with a PHD filter

Lundquist, C., Granström, K., & Orguner, U. (2011) · Cited by 51

Vision for Robotics

Kragić, D., & Vincze, M. (2009) · now publishers, Inc. eBooks · doi:10.1561/2300000001 · Cited by 51

Improving performance of distribution tracking through background mismatch

Zhang, T., & Freedman, D. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.31 · Cited by 51

Tracking Many Objects Using Subordinated Condensation

Tweed, D., & Calway, A. D. (2002) · British Machine Vision Conference (BMVC) · doi:10.5244/c.16.26 · Cited by 51

Variable resolution particle filter

Verma, V., Thrun, S., & Simmons, R. G. (2003) · Cited by 51

Stereovision-Based Multiple Object Tracking in Traffic Scenarios Using Free-Form Obstacle Delimiters and Particle Filters

Vatavu, A., Danescu, R. G., & Nedevschi, S. (2015) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2366248 · Cited by 50

Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities

Possegger, H., Sternig, S., Mauthner, T., Roth, P. M., & Bischof, H. (2013) · 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.2013.310 · Cited by 50

Stationary target detection using the objectvideo surveillance system

Venetianer, P. L., Zhang, Z., Yin, W., & Lipton, A. J. (2007) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2007.4425317 · Cited by 50

Bayesian Neighborhood Component Analysis

Wang, D., & Tan, X. (2018) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2712823 · Cited by 50

Firefly algorithm (FA) based particle filter method for visual tracking

Gao, M., Li, L., Sun, X., Yin, L., Li, H., & Luo, D. (2015) · Optik · doi:10.1016/j.ijleo.2015.05.028 · Cited by 50

Analysis of shopping behavior based on surveillance system

Popa, M. C., Rothkrantz, L. J. M., Yang, Z., Wiggers, P., Braspenning, R., & Shan, C. (2010) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2010.5641928 · Cited by 50

Hand Gesture Recognition within a Linguistics-Based Framework

Derpanis, K. G., Wildes, R. P., & Tsotsos, J. K. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24670-1_22 · Cited by 50

Content-based analysis for video from snooker broadcasts

Denman, H., Rea, N., & Kokaram, A. C. (2003) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2003.06.005 · Cited by 50

Coalitional tracking

Dowdall, J. B., Pavlidis, I. T., & Tsiamyrtzis, P. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.011 · Cited by 50

Snoopertrack: Text detection and tracking for outdoor videos

Minetto, R., Thome, N., Cord, M., Leite, N. J., & Stolfi, J. (2011) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2011.6116563 · Cited by 49

Object tracking via appearance modeling and sparse representation

Chen, F., Wang, Q., Wang, S., Zhang, W., & Xu, W. (2011) · Image and Vision Computing · doi:10.1016/j.imavis.2011.08.006 · Cited by 49

Bayesian Tracking for Video Analytics

Dore, A., Soto, M., & Regazzoni, C. S. (2010) · IEEE Signal Processing Magazine · doi:10.1109/msp.2010.937395 · Cited by 49

A Novel Computational Approach for Simultaneous Tracking and Feature Extraction ofC. elegansPopulations in Fluid Environments

Tsechpenakis, G., Bianchi, L. K., Metaxas, D., & Driscoll, M. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.918582 · Cited by 49

iTASC: A Tool for Multi-Sensor Integration in Robot Manipulation

Smits, R., Laet, T. D., Claes, K., Bruyninckx, H., & Schutter, J. D. (2009) · Lecture notes in electrical engineering · doi:10.1007/978-3-540-89859-7_17 · Cited by 49

Multi-Object Tracking Through Clutter Using Graph Cuts

Malcolm, J. G., Yogesh Rathi, A., & Tannenbaum, A. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409178 · Cited by 49

Object Tracking in Satellite Videos: Correlation Particle Filter Tracking Method With Motion Estimation by Kalman Filter

Li, Y., Bian, C., & Chen, H. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3204105 · Cited by 48

Multi-object detection and tracking by stereo vision

Cai, L., He, L., Xu, Y., Zhao, Y., & Yang, X. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.06.012 · Cited by 48

3D human motion tracking based on a progressive particle filter

Chang, I., & Lin, S.-Y. (2010) · Pattern Recognition · doi:10.1016/j.patcog.2010.05.003 · Cited by 48

Order determination and sparsity-regularized metric learning adaptive visual tracking

Jiang, N., Liu, W., & Wu, Y. N. (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.2012.6247897 · Cited by 48

Multi-camera people tracking using evidential filters

Muñoz‐Salinas, R., Medina-Carnicer, R., Madrid-Cuevas, F. J., & Carmona-Poyato, A. (2009) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2009.02.001 · Cited by 48

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