Multitarget tracking with split and merged measurements

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 605-610

  Khan, Zia ^a   Balch, Tucker ^a   Dellaert, Frank ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; MARKOV PROCESSES; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBLEM SOLVING;

DATA ASSOCIATIONS; MARKOV CHAIN MONTE CARLO (MCMC); MULTITARGET TRACKING;

COMPUTER VISION;

EID: 33745143619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.245     Document Type: Conference Paper

References (15)

1. T. Balch, Z. Khan, and M. Veloso. Automatically tracking and analyzing the behavior of live insect colonies. In Proc. Autonomous Agents 2001, Montreal, 2001.
2. N. Bergman and A. Doucet. Markov chain Monte Carlo data association for target tracking. In Intl. Conf. Acoust., Speech, and Signal Proc. (ICASSP), 2000.
3. C. Berzuini, N. G. Best, W.R. Gilks, and C. Larizza. Dynamic conditional independence models and Markov chain Monte Carlo methods. Journal of the American Statistical Association, 92:1403-1412, 1996.
4. J. Bruce, T. Balch, and M. Veloso. Fast and inexpensive color image segmentation for interactive robots. In IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2000.
5. G. Casella and C.P. Robert. Rao-Blackwellisation of sampling schemes. Biometrika, 83(1):81-94, March 1996.
6. Y.C. Chang and Y. Bar-Shalom. Joint probabilistic data association for multitarget tracking with possibly unresolved measurements and maneuvers. In IEEE Trans. Automat. Contr., volume 29, pages 585-594, 1984.
7. F. Dellaert, S.M. Seitz, C.E. Thorpe, and S. Thrun. EM, MCMC, and chain flipping for structure from motion with unknown correspondence. Machine learning, 50(1-2):45-71, January - February 2003. Special issue on Markov chain Monte Carlo methods.
8. A. Genovesio and J. C. Olivo-Marin. Split and merge data association filter for dense multi-target tracking. In Intl. Conf. on Pattern Recognition (ICPR), pages 677-680, 2004.
9. I. Haritaoglu, D. Harwood, and L. S. Davis. W4: Real-time surveillance of people and their activities. PAMI, 22(8):809-830, 2000.
10. Z. Khan, T. Balch, and F. Dellaert. An MCMC-based particle filter for tracking multiple interacting targets. In Eur. Conf. on Computer Vision (ECCV), 2004.
11. W. Koch and G. van Keuk. Multiple hypothesis track maintenance with possibly unresolved measurements. IEEE Trans. Aerosp. Electron. Syst., 33(3):589-601, 1997.
12. K. Murphy and S. Russell. Rao-Blackwellised particle filtering for dynamic Bayesian networks. In A. Doucet, N. de Freitas, and N. Gordon, editors, Sequential Monte Carlo Methods in Practice. Springer-Verlag, New York, January 2001.
13. S. Oh, S. Russell, and S. Sastry. Markov chain Monte Carlo data association for general multiple target tracking problems. In Proc. 43rd IEEE Conference on Decision and Control (CDC-04), 2004.
14. M. K. Pitt and N. Shephard. Auxiliary variable based particle filters. In Arnaud Doucet, Nando de Freitas, and Neil Gordon, editors, Sequential Monte Carlo Methods in Practice. Springer-Verlag, New York, 2001.
15. Robert Popoli and Samuel S. Blackman. Design and Analysis of Modern Tracking Systems. Artech House Radar Library, August 1999.