Articulated body motion capture by annealed particle filtering (2000)


Download Links

by Jonathan Deutscher
Citations:401 - 3 self

Active Bibliography

Continuous-state Graphical Models for . . . – Leonid Sigal - 2008
Markerless Motion Capture of Complex – Full-Body Movement For, Andrew J. Davison, Jonathan Deutscher, Ian D. Reid - 2001
Buiding a Visual Tracking System for Home-Based Rehabilitation – Yaqing Tao, Huosheng Hu - 2003
Thesis Advisor Date – Ben Sigelman, Michael Black Reader, John F. Hughes
2 Abstract Human Pose Estimation using Partial Configurations and Probabilistic Regions – Timothy J. Roberts, Stephen J. Mckenna, Ian W. Ricketts
61 Automatic Partitioning of High Dimensional Search Spaces associated with Articulated Body Motion Capture – Jonathan Deutscher, Andrew Davison, Ian Reid - 2001
7 Human Body Tracking with Auxiliary Measurements – Mun Wai Lee - 2003
1 Visual Analysis of Articulated Motion – Philip A. Tresadern - 2006
Learning evidential models for example-based object – Fabio Cuzzolin
50 Attractive people: Assembling loose-limbed models using non-parametric belief propagation – Leonid Sigal, Benjamin H. Sigelman, Michael Isard, Michael J. Black
160 3D Articulated Models and Multi-View Tracking with Physical Forces – Quentin Delamarre, Olivier Faugeras
317 Stochastic Tracking of 3D Human Figures Using 2D Image Motion – Hedvig Sidenbladh, Michael J. Black, D. J. Fleet - 2000
23 Dressed Human Modeling, Detection, and Parts Localization – Liang Zhao - 2001
89 Estimating Articulated Human Motion With Covariance Scaled Sampling – Cristian Sminchisescu, Bill Triggs - 2003
Evaluation of Three Optical Flow-Based Observation Models for Tracking – Lucena Fuertes Departamento, M. Lucena, J. M. Fuertes - 2004
Probabilistic Observation Models – For Tracking Based, Manuel J. Lucena, Josém. Fuertes, Nicolas Perez De La Blanca, Antonio Garrido, Nicolás Ruiz, Escuela Universitaria Politecnica
Using Optical Flow for Tracking – Lucena Fuertes And, M. Lucena, J. M. Fuertes, N. Perez De La Blanca
1 An optical flow probabilistic observation model for tracking – J. M. Fuertes, Escuela Polittcnica Suuerior - 2003
E.T.S. de Ingeniería Informática. – M. J. Lucena, J. M. Fuertes, J. I. Gomez, Escuela Politécnica Superior, N. Perez De La Blanca, A. Garrido, C Periodista, Daniel Saucedo Ar