Joint region tracking with switching hypothesized measurements

Proceedings of the IEEE International Conference on Computer Vision

Volumn 1, Issue , 2003, Pages 75-82

  Wang, Yang ^a   Tan, Tele ^a   Loe, Kia Fock ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; STATE ESTIMATION; STATE SPACE METHODS; TRACKING (POSITION);

JOINT REGION TRACKING; SWITCHING HYPOTHESIZED MEASUREMENTS; VISUAL TRACKING;

MOTION ESTIMATION;

EID: 0344551944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. B. D. O. Anderson and J. B. Moore, Optimal filtering, Prentice-Hall, 1979.
2. Y. Bar-Shalom and T. E. Fortmann, Tracking and data association, Academic Press, 1988.
3. R. G. Brown, Introduction to random signal analysis and Kalman filtering, John Wiley & Sons, 1983.
4. T.-J. Cham and J. M. Rehg, "A multiple hypothesis approach to figure tracking," Proc. Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 239-245, 1999.
5. I. J. Cox and S. L. Hingorani, "An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking," IEEE Trans. Patt. Anal. Mach. Intel., vol. 18, pp. 138-150, 1996.
6. Y. Fu, A. T. Erdem, and A. M. Tekalp, "Tracking visible boundary of objects using occlusion adaptive motion snake," IEEE Trans. Image Processing, vol. 9, pp. 2051-2060, 2000.
7. B, Galvin, B. McCane, and K. Novins, "Virtual snakes for occlusion analysis," Proc. Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 294-299, 1999.
8. Z. Ghahramani, "Learning dynamic Bayesian networks," in Adaptive processing of temporal information (C. L. Giles and M. Gori, eds.), Lecture notes in artificial intelligence, pp. 168-197, Springer-Verlag, 1998.
9. Z. Ghahramani and G. E. Hinton, "Variational learning for switching state-space models," Neural Computation, vol. 12, pp. 963-996, 1998.
10. G. D. Hager and P. N. Belhumeur, "Efficient region tracking with parametric models of geometry and illumination," IEEE Trans. Patt. Anal. Mach. Intel., vol. 20, pp. 1025-1039, 1998.
11. M. Isard and A. Blake, "A mixed-state Condensation tracker with automatic model-switching," Proc. International Conf. Computer Vision, pp. 107-112, 1998.
12. M. Isard and A. Blake, "Contour tracking by stochastic propagation of conditional density," Proc. European Conf. Computer Vision, pp. 343-356, 1996.
13. N. Jojic and B. J. Frey, "Learning flexible sprites in video layers," Proc. Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 199-206, 2001.
14. C.-J. Kim, "Dynamic linear models with Markov-switching," Journal of Econometrics, vol. 60, pp. 1-22, 1994.
15. J. MacCormick and A. Blake, "A probabilistic exclusion principle for tracking multiple objects," Proc. International Conf. Computer Vision, vol. 1, pp. 572-578, 1999.
16. K. P. Murphy, "Learning switching Kalman filter models," Technical Report 98-10, Compaq Cambridge Research Lab, 1998.
17. H. T. Nguyen, M. Worring, and R. van den Boomgaard, "Occlusion robust adaptive template tracking," Proc. International Conf. Computer Vision, vol. 1, pp. 678-683, 2001.
18. V. Pavlovic and J. M. Rehg, "Impact of dynamic model learning on classification of human motion," Proc. Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 788-795, 2000.
19. V. Pavlovic, J. M. Rehg, T.-J. Cham, and K. P. Murphy, "A dynamic Bayesian network approach to figure tracking using learned dynamic models," Proc. Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 94-101, 1999.
20. C. Rasmussen and G. D. Hager, "Probabilistic data association methods for tracking complex visual objects," IEEE Trans. Patt. Anal. Mach. Intel., vol. 23, pp. 560-576, 2001.
21. K. Rohr, "Towards model-based recognition of human movements in image sequences," Computer Vision, Graphics, and Image Processing: Image Understanding, vol. 59, pp. 94-115, 1994.
22. R. H. Shumway and D. S. Stoffer, "Dynamic linear models with switching," Journal of the American Statistical Association, vol. 86, pp. 763-769, 1991.
23. C. Stauffer, and W. E. L. Grimson, "Learning patterns of activity using real-time tracking," IEEE Trans. Patt. Anal. Mach. Intel., vol. 22, pp. 747-757, 2000.
24. H. Tao, H. S. Sawhney, and R. Kumar, "Object tracking with Bayesian estimation of dynamic Layer representations," IEEE Trans. Patt. Anal. Mach. Intel., vol. 24, pp. 75-89, 2002.