Style adaptive Bayesian tracking using explicit manifold learning

BMVC 2005 - Proceedings of the British Machine Vision Conference 2005

Volumn , Issue , 2005, Pages

  Lee, Chan Su ^a   Elgammal, Ahmed ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONTOUR MEASUREMENT;

3D POSE RECONSTRUCTION; CONFIGURATION SPACE; EXPLICIT REPRESENTATION; GENDER CLASSIFICATION; GLOBAL DEFORMATIONS; HUMAN IDENTIFICATION; NONLINEAR DIMENSIONALITY REDUCTION; NONLINEAR MAPPINGS;

DEFORMATION;

EID: 84898488929     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.19.55     Document Type: Conference Paper

References (15)

1. Richard Bowden. Learning statistical models of human motion. In Proc. IEEE Workshop on Human Modeling, Analysis and Synthesis, pages 10-17, 2000.
2. H. Chui and A. Rangarajan. A new algorithm for non-rigid point matching. In Proc. IEEE CVPR, pages 44-51, 2000.
3. T.F. Cootes, D. Cooper, C.J. Taylor, and J. Graham. Active shape models - their training and application. Computer Vision and Image Understanding, 61(1): 38-59, 1995.
4. David Cunado, Mark S. Nixon, and John Carter. Automatic extraction and description of human gait models for recognition purposes. Computer Vision and Image Understanding, 90: 1-41, 2003.
5. James W. Davis and Hui Gao. An expressive three-mode principal components model for gender recognition. Journal of Vision, 4(5): 362-377, 2004.
6. Ahmed Elgammal and Chan-Su Lee. Inferring 3d body pose from silhouettes using activity manifold learning. In Proc. IEEE CVPR, pages 681-688, 2004.
7. Ahmed Elgammal and Chan-Su Lee. Separating style and content on a nonlinear manifold. In Proc. IEEE CVPR, pages 478-485, 2004.
8. D.M. Gavrila. Multi-feature hierarchical template matching using distance transforms. In Proc. IEEE ICPR, pages 439-444, 1998.
9. Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing. Addison Wesley, 1992.
10. Michael Isard and Andrew Blake. Condensation-conditional density propagation for visual tracking. Int. J. Computer Vision, 29(1): 5-28, 1998.
11. Lieven De Lathauwer, Bart de Moor, and Joos Vandewalle. A multilinear singular value decomposition. SIAM Journal On Matrix Analysis and Applications, 21(4): 1253-1278, 2000.
12. D. Ormoneit, H. Sidenbladh, M. J. Black, T. Hastie, and D. J. Fleet. Learning and tracking human motion using functional analysis. In Proc. IEEE Workshop on Human Modeling, Analysis and Synthesis, pages 2-9, 2000.
13. Sam Roweis and Lawrence Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500): 2323-2326, 2000.
14. Kentaro Toyama and Andrew Blake. Probabilistic tracking in a metric space. In Proc. IEEE ICCV, pages 50-57, 2001.
15. Qiang Wang, Guangyou Xu, and Haizhou Ai. Learning object intrinsic structure for robust visual tracking. In Proc. of CVPR, pages 227-233, 2003.