Monocular tracking of 3D human motion with a coordinated mixture of factor analyzers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3952 LNCS, Issue , 2006, Pages 137-150

  Li, Rui ^a   Yang, Ming Hsuan ^b   Sclaroff, Stan ^a   Tian, Tai Peng ^a  

^a BOSTON UNIVERSITY   (United States)

^b HONDA RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MOTION ESTIMATION; MOTION PICTURES; STATE SPACE METHODS; TRACKING (POSITION);

DIMENSIONALITY; POSE STATE SPACE; QUANTITATIVE COMPARISONS; TRACKING ALGORITHMS;

THREE DIMENSIONAL COMPUTER GRAPHICS;

EID: 33745868742     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11744047_11     Document Type: Conference Paper

References (28)

1. King, O., Forsyth, D.A.: How does CONDENSATION behave with a finite number of samples? In: Proc. European Conf. on Computer Vision (ECCV). (2000) 695-709
2. Isard, M., Blake, A.: ICondensation: Unifying low-level and high-level tracking in a stochastic framework. In: Proc. European Conf. on Computer Vision (ECCV). (1998) 893-908
3. MacCormick, J., Blake, A.: A probabilistic exclusion principle for tracking multiple objects. In: Proc. IEEE International Conf. on Computer Vision (ICCV). (1999) 572-578
4. Sminchisescu, C., Triggs, B.: Covariance scaled sampling for monocular 3D body tracking. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). (2001) 447-454
5. Sullivan, J., Rittscher, J.: Guiding random particles by deterministic search. In: Proc. IEEE International Conf. on Computer Vision (ICCV). (2001) 323-330
6. Deutscher, J., Blake, A., Reid, J.: Articulated body motion capture by annealed particle filtering. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). (2000) 126-133
7. Sullivan, J., Blake, A., Isard, M., MacCormick, J.: Bayesian object localization in images. International Journal of Computer Vision (IJCV) 44 (2001) 111-135
8. Roweis, R., Saul, L.: Nonlinear dimensionality reduction by locally linear embedding. Science 290 (2000) 2323-2326
9. Tenenbaum, J., Silva, V., Langford, J.: A global geometric framework for nonlinear dimensionality reduction. Science 290 (2000) 2319-2323
10. Belkin, M., Niyogi, P.: Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Advances in Neural Information Processing Systems (NIPS). (2001) 585-591
11. Brand, M.: Charting a manifold. In: Advances in Neural Information Processing Systems (NIPS). (2002) 961-968
12. Teh, W.Y., Roweis, S.: Automatic alignment of local representations. In: Advances in Neural Information Processing Systems (NIPS). (2002) 841-848
13. Lawrence, N.D.: Gaussian process models for visualization of high dimensional data. In: Advances in Neural Information Processing Systems (NIPS). (2003)
14. Wang, L., Hu, W.M., Tan, T.N.: Recent development in human motion analysis. Pattern Recognition 36 (2003) 585-601
15. Isard, M., Blake, A.: CONDENSATION: conditional density propagation for visual tracking. International Journal of Computer Vision (IJCV) 29 (1998) 5-28
16. Cham, T.J., Rehg, J.M.: A multiple hypothesis approach to figure tracking. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). (1999) 239-245
17. Toyama, K., Blake, A.: Probabilistic tracking in a metric space. In: Proc. IEEE International Conf. on Computer Vision (ICCV). (2001) 5057
18. Sidenbladh, H., Black, M.J., Fleet, D.J.: Stochastic tracking of 3D human figures using 2D image motion. In: Proc. European Conf. on Computer Vision (ECCV). (2000) 702-718
19. Sidenbladh, H., Black, M.J.: Learning image statistics for Bayesian tracking. In: Proc. IEEE International Conf. on Computer Vision (ICCV). (2001) 709-716
20. Elgammal, A., Lee, C.S.: Inferring 3D body pose from silhouettes using activity manifold learning. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). (2004) 681-688
21. Grochow, K., Martin, S.L., Hertzmann, A., Popovic, Z.: Style-based inverse kinematics. In: ACM Computer Graphics (SIGGRAPH). (2004) 522-531
22. Safonova, A., Hodgins, J.K., Pollard, N.S.: Synthesizing physically realistic human motion in low dimensional, behavior-specific spaces. In: ACM Computer Graphics (SIGGRAPH). (2004) 514-521
23. Sminchisescu, C., Jepson, A.: Generative modelling for continuous non-linearly embedded visual inference. In: Proc. IEEE International Conf. on Machine Learning (ICML). (2004) 140-147
24. Tian, T.P., Li, R., Sclaroff, S.: Tracking human body pose on a learned smooth space. Technical Report 2005-029, Boston University (2005)
25. Urtasun, R., Fleet, D.J., Hertzmann, A., Fua, P.: Priors for people tracking from small training sets. In: Proc. IEEE International Conf. on Computer Vision (ICCV). (2005) 403-410
26. Roweis, R., Saul, L., Hinton, G.E.: Global coordination of local linear models. Advances in Neural Information Processing Systems (NIPS) (2001) 889-896
27. Ghahramani, Z., Hinton, G.E.: The EM algorithm for mixtures of factor analyzers. Technical Report CRG-TR-96-1, University of Toronto (1996)
28. Sigal, L., Bhatia, S., Roth, S., Black, M.J., Isard, M.: Tracking loose-limbed people. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR). (2004) 421-428