Mode-based multi-hypothesis head tracking using parametric contours

Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002

Volumn , Issue , 2002, Pages 119-124

  Chen, Yunqiang ^a   Rui, Yong ^b   Huang, Thomas ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DYNAMIC PROGRAMMING; GESTURE RECOGNITION; MAXIMUM LIKELIHOOD ESTIMATION;

CLUTTER BACKGROUND; COMPLEX ENVIRONMENTS; IMPORTANCE FUNCTIONS; MAXIMUM LIKELIHOOD ESTIMATE; MULTI-HYPOTHESIS TRACKING; PARTIAL OCCLUSIONS; PROBABILISTIC DISTRIBUTION; TRACKING TECHNIQUES;

PROBABILITY DISTRIBUTIONS;

EID: 84905399002     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2002.1004142     Document Type: Conference Paper

References (14)

1. A. Amini, T. Weymouth, R. Jain, Using dynamic programming for solving variational problems in vision, IEEE Trans. PAMI, vol. 12, no. 9, pp.855-67, 1990.
2. S. Birchfield, "Elliptical Head Tracking Using Intensity Gradients and Color Histograms", Proc. CVPR, 1998. pp. 232-7
3. T. Cham, J. M. Rehg, Multiple hypothesis approach to figure tracking, Proc. IEEE CVPR, vol 2, p 239-245, 1999
4. K. Choo and D. Fleet, People tracking using hybrid Monte Carlo filtering, Proc. IEEE ICCV, Vancouver, Canada, 2001
5. J. Deutscher, A. Blake, I. Reid, Articulated body motion capture by annealed particle filtering, Proc. CVPR, 2000.
6. M. Isard, A. Blake, CONDENSATION-conditional density propagation for visual tracking, Int. J. Computer Vision, 29, 1, 5-28, (1998)
7. M. Isard, A. Blake, ICONDENSATION: Unifying low-level and highlevel tracking in a stochastic framework, Proc. 5th European Conf. Computer Vision, 1998, pp.893-908.
8. M. Kass, A. Witkin, D. Terzopoulos, Snakes: Active contour models, Int. J. Comput. Vision, vol. 1, no. 4, pp.321-331, 1988
9. R. Merwe, A. Doucet, N. Freitas, and E. Wan, The unscented particle filter, Technical Report CUED/F-INFENG/TR 380, Cambridge University Engineering Department, August 2000.
10. N. Peterfreund, Robust tracking of position and velocity with Kalman snakes, IEEE Trans.PAMI, vol.21, no.6, 1999, pp.564-9
11. D.B. Reid, An algorithm for tracking multiple targets, IEEE Trans. On Automatic Control, vol. 24, no. 6, pp. 843-854, 1979.
12. D. Terzopoulos, R. Szeliski, Tracking with Kalman Snakes, Active Vision, A. Blake and A. Yuille eds., MIT Press, 1992
13. K. Toyama, G. D. Hager, Keeping your eye on the ball: Tracking occluding contours of unfamiliar objects without distraction, IEEE Inter. Conf. on Intelligent Robots and Systems, pp354-359, 1995
14. J. Vermaak, and A. Blake, Nonlinear filtering for speaker tracking in noisy and reverberant environments, Proc. of IEEE ICASSP, 2000.