Conditional visual tracking in kernel space

Advances in Neural Information Processing Systems

Volumn , Issue , 2005, Pages 1249-1256

  Sminchisescu, Cristian ^a,b,c   Kanujia, Atul ^c   Li, Zhiguo ^c   Metaxas, Dimitris ^c  

^a TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D MOTION; 3D SOLUTIONS; BAYESIAN MIXTURE; COMPUTATIONAL COSTS; CONDITIONAL GRAPHICAL MODEL; DESCRIPTORS; ENCODING IMAGES; HIDDEN STATE; HIDDEN STATE VARIABLES; HIGH-DIMENSIONAL; HUMAN MOTIONS; KERNEL SPACE; LOW-DIMENSIONAL MODELS; MONOCULAR VIDEO; MONOCULAR VIDEO SEQUENCES; NON-LINEAR CORRELATIONS; NONLINEAR DIMENSIONALITY REDUCTION; NONLINEAR STATE; PERSPECTIVE PROJECTIONS; PROBABILISTIC FRAMEWORK; PROPAGATION OF UNCERTAINTIES; VISUAL PERCEPTION; VISUAL PROCESS; VISUAL TRACKING;

ALGORITHMS; FACE RECOGNITION; IMAGE CODING;

THREE DIMENSIONAL;

EID: 34548804611     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. CMU Human Motion DataBase. Online at http://mocap.cs.cmu.edu/search.html, 2003.
2. A. Agarwal and B. Triggs. 3d human pose from silhouettes by Relevance Vector Regression. In CVPR, 2004.
3. G. Bakir, J. Weston, and B. Scholkopf. Learning to find pre-images. In NIPS, 2004.
4. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. PAMI, 24, 2002.
5. C. Bishop and M. Svensen. Bayesian mixtures of experts. In UAI, 2003.
6. J. Deutscher, A. Blake, and I. Reid. Articulated Body Motion Capture by Annealed Particle Filtering. In CVPR, 2000.
7. M. Jordan and R. Jacobs. Hierarchical mixtures of experts and the EM algorithm. Neural Computation, (6):181-214, 1994.
8. D. Mackay. Bayesian interpolation. Neural Computation, 4(5):720-736, 1992.
9. A. McCallum, D. Freitag, and F. Pereira. Maximum entropy Markov models for information extraction and segmentation. In ICML, 2000.
10. R. Rosales and S. Sclaroff. Learning Body Pose Via Specialized Maps. In NIPS, 2002.
11. B. Schölkopf, A. Smola, and K. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.
12. G. Shakhnarovich, P. Viola, and T. Darrell. Fast Pose Estimation with Parameter Sensitive Hashing. In ICCV, 2003.
13. L. Sigal, S. Bhatia, S. Roth, M. Black, and M. Isard. Tracking Loose-limbed People. In CVPR, 2004.
14. C. Sminchisescu and A. Jepson. Generative Modeling for Continuous Non-Linearly Embedded Visual Inference. In ICML, pages 759-766, Banff, 2004.
15. C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas. Discriminative Density Propagation for 3D Human Motion Estimation. In CVPR, 2005.
16. C. Sminchisescu and B. Triggs. Kinematic Jump Processes for Monocular 3D Human Tracking. In CVPR, volume 1, pages 69-76, Madison, 2003.
17. M. Tipping. Sparse Bayesian learning and the Relevance Vector Machine. JMLR, 2001.
18. C. Tomasi, S. Petrov, and A. Sastry. 3d tracking = classification + interpolation. In ICCV, 2003.
19. J. Weston, O. Chapelle, A. Elisseeff, B. Scholkopf, and V. Vapnik. Kernel dependency estimation. In NIPS, 2002.