Integrated detection and tracking for multiple moving objects using data-driven MCMC data association

2008 IEEE Workshop on Motion and Video Computing, WMVC

Volumn , Issue , 2008, Pages

  Yu, Qian ^a   Medioni, Gérard ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FOREGROUND REGIONS; MOTION AND VIDEO COMPUTING; TARGETS OF INTEREST;

ASTROPHYSICS; GEOMETRICAL OPTICS; MARKOV PROCESSES; VIDEO SIGNAL PROCESSING;

TARGET TRACKING;

EID: 50949094867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WMVC.2008.4544066     Document Type: Conference Paper

References (20)

1. http://www.clear-evaluation.org/.
2. D. Reid. An algorithm for tracking multiple targets. IEEE Trans. Automat. Contr, 24(6):84-90, Dec 1979.
3. R. T. Collins. Mean-shift blob tracking through scale space. In CVPR, page 234C240, 2003.
4. T. Zhao and R. Nevatia. Tracking multiple humans in crowded environment. In CVPR, pages 406-413, 2004.
5. X. Song and R. Nevatia. A model-based vehicle segmentation method for tracking. In ICCV, pages 1124-1131, 2005.
6. Z. Tu and S. Zhu. Image segmentation by data-driven markov chain monte carlo. In PAMI, volume 24, pages 657-673, 2002.
7. J. Kang, I. Cohen, and G. Medioni. Continuous tracking within and across camera streams. In CVPR, volume 1, pages 267-272, Jun 2003.
8. Z. Tu and S. Zhu. Image segmentation by Data Driven Markov Chain Monte Carlo. IEEE PAMI, 24(5):657-674, 2002.
9. Y. Bar-Shalom, T. Fortmann, and M. Scheffe. Joint probabilistic data association for multiple targets in clutter. In Proc. Conf. on Information Sciences and Systems, 1980.
10. I. Cox and S. Hingorani. An efficient implementation of Reid's MHT algorithm and its evaluation for the purpose of visual tracking. In ICPR, pages 437-443, 1994.
11. F. Dellaert, S. M. Seitz, C. E. Thorpe, and S. Thrun. Structure from motion without correspondence. In CVPR, 2000.
12. Z. Khan, T. Balch, and F. Dellaert. An mcmc-based particle filter for tracking multiple interacting targets. In ECCV (4), pages 279-290, 2004.
13. S. Oh, S. Russell, and S. Sastry. Markov chain monte carlo data association for general multiple-target tracking problems. In Proceedings of the 43rd IEEE Conference on Decision and Control, 2004.
14. Q. Yu, G. Medioni, and I. Cohen. Multiple target tracking using spatio-temporal markov chain monte carlo data association. In "CVPR", pages 1-8, 2007.
15. K. Smith, D. Gatica-Perez, and J.-M. Odobez. Using particles to track varying numbers of interacting people. In CVPR, pages 962-969, 2005.
16. B. Wu and R. Nevatia. Tracking of multiple, partially occluded humans based on static body part detection. In CVPR, 2006.
17. K. Okuma, A. Taleghani, N. de Freitas, J. Little, and D. Lowe. A boosted particle filter: Multitarget detection and tracking. In ECCV, pages 28-39, 2004.
18. Q. Yu, I. Cohen, G. Medioni, and B. Wu. Boosted markov chain monte carlo data association for multiple target detection and tracking. In ICPR, pages 675-678, 2006.
19. B. Wu and R. Nevatia. Detection of multiple, partially occluded humans in a single image by bayesian combination of edgelet part detectors. In In ICCV, pages IV: 90-97, 2005.
20. B. Wu, H. AI, C. Huang, and S. Lao. Fast rotation invariant multi-view face detection based on real adaboost. In IEEE International Conference on Automatic Face and Gesture Recognition, pages 79-85, 2004.