Multi-target tracking using hybrid particle filtering

Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005

Volumn , Issue , 2007, Pages 447-454

  Rittscher, Jens ^a   Krahnstoever, Nils ^a   Galup, Luis ^a  

^a GE GLOBAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS CONTROL; APPROXIMATION THEORY; KALMAN FILTERS; MONTE CARLO METHODS;

CONTROL LOOPS; PARTICLE FILTERING; PARTICLE FILTERS; TARGET DISTRIBUTION;

TARGET TRACKING;

EID: 35348914328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACVMOT.2005.81     Document Type: Conference Paper

References (17)

1. Y. Bar-Shalom and T. E. Fortmann. Tracking and Data Association. Academic Press, 1988.
2. A. Blake and M. Isard. Condensation - conditional density propagation for visual tracking, int. J. Computer Vision, 28(1):5-28, 1998.
3. J. Carpenter, P. Clifford, and P. Faernhead. Improved particle filter for nonlinear problems. IEE Proc.-Radar, Sonar Navig., 146(1), 1999.
4. Y. Chen, Y. Rui, and T.S. Huang. Jpdaf based hmm for real-time contour tracking. In IEEE Computer Vision and Pattern Recognition, Hawaii, volume 1, pages 543-550, 2001.
5. K. Choo and D.J. Fleet. People tracking with hybrid monte carlo. In Proc. 8th Int. Conf. on Computer Vision, Vancouver, BC, volume 2, pages 321-328, 2001.
6. D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of non-rigid objects using mean shift. In IEEE Computer Vision and Pattern Recognition, Hilton Head, SC, volume 2, pages 142-149, Hilton Head Island, South Carolina, 2000.
7. J.M. Hammersley and D.C. Handscomb. Monte Carlo methods. Methuen, 1964.
8. M. Isard and J. MacCormick. Bramble: A Bayesian multiple-blob tracker. In Proc. 8th Int. Conf. on Computer Vision, Vancouver, BC, volume 2, pages 34-41, 2001.
9. 0. King and D.A. Forsyth. How does CONDENSATION behave with a finite number of samples ? In Proc. 6th European Conf. Computer Vision, Dublin, Ireland, volume 1, pages 695-709, 2000.
10. G. Kitagawa. Monte Carlo filter und smoother for non-Gaussian nonlinear state space models. Journal of Computational and Graphical Statistics, 5:1-25, 1996.
11. J. S. Liu, R. Chen, and T. Logvinenko. A threoretical framework for sequential importance sampling with resampling. In A. Doucet, N deFreitas, and N. Gordon, editors, Sequential Monte Carlo Methods in Practice, pages 225-246. Springer, 2001.
12. J. S. Liu, R. Chen, and W. H. Wong. Rejection control and sequential importance sampling. Journal of the American Statistical Association, 93(443):1022-1031, 1998.
13. J. MacCormick and A. Blake. A probabilistic exclusion principle for tracking multiple objects. In Proc. 7th Int. Conf. on Computer Vision, Corfu, Greece, volume 2, pages 572 -578, 1999.
14. D. Schulz, W. Burgard, D. Fox, and A.B. Cremers. Tracking multiple moving objects with a mobile robot. In IEEE Computer Vision and Pattern Recognition, Hawaii, volume 1, pages 371-377, 2001.
15. J. Sullivan and J. Rittscher. Guiding random particles by deterministic search. In Proc. 8th Int. Conf. on Computer Vision, Vancouver, BC, volume 1, pages 323-330, 2001.
16. J. Vermaak, A. Doucet, and P. Perez. Maintaining multi-modality through mixture tracking. In Proc. 9th Int. Conf. on Computer Vision, Nice, France, pages 1110-1116, 2003.
17. P. Viola and M. J. Jones. Robust real-time face detection. Int. J. Computer Vision, 57(2):137-154, May 2004.