Online motion agreement tracking

BMVC 2013 - Electronic Proceedings of the British Machine Vision Conference 2013

Volumn , Issue , 2013, Pages

  Wu, Zheng ^a   Zhang, Jianming ^a   Betke, Margrit ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; TRACKING (POSITION);

APPEARANCE MODELING; BIPARTITE MATCHINGS; DATA ASSOCIATION; DIRECTION OF MOTION; MULTI-TARGET TRACKING; PEDESTRIAN TRACKING; STATE-OF-THE-ART METHODS; TRACKING TECHNIQUES;

COMPUTER VISION;

EID: 84898404380     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.27.63     Document Type: Conference Paper

References (22)

1. A. Adam, E. Rivlin, and I. Shimshoni. Robust fragments-based tracking using the integral histogram. In CVPR, pages 798-805, 2006.
2. A. Andriyenko, S. Roth, and K. Schindler. An analytical formulation of global occlusion reasoning for multi-target tracking. In Proceeding of the 11th IEEE Workshop on Visual Surveillance, pages 1839 - 1846, 2011.
3. A. Andriyenko, K. Schindler, and S. Roth. Discrete-continuous optimization for multitarget tracking. In CVPR, 2012.
4. B. Babenko, Ming-Hsuan Yang, and S. Belongie. Robust object tracking with online multiple instance learning. PAMI, 33(8):1619 -1632, 2010.
5. Ben Benfold and Ian Reid. Stable multi-target tracking in real-time surveillance video. In CVPR, pages 3457-3464, 2011.
6. K. Bernardin and R. Stiefelhagen. Evaluating multiple object tracking performance: The CLEAR MOT metrics. EURASIP Journal on Image and Video Processing, 2008.
7. M.D. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier, and L. Van Gool. Online multiperson tracking-by-detection from a single, uncalibrated camera. PAMI, 33(9): 1820 -1833, 2011.
8. L. Cehovin, M. Kristan, and A. Leonardis. An adaptive coupled-layer visual model for robust visual tracking. In ICCV, 2011.
9. P. Dollár, S. Belongie, and P. Perona. The fastest pedestrian detector in the west. In BMVC, 2010.
10. P. Dollár, C. Wojek, B. Schiele, and P. Perona. Pedestrian detection: An evaluation of the state of the art. PAMI, 34(4):743-761, 2012.
11. M. Godec, P. M. Roth, and H. Bischof. Hough-based tracking of non-rigid objects. In ICCV, 2011.
12. H. Grabner and H. Bischof. On-line boosting and vision. In CVPR, 2006.
13. Z. Kalal, K. Mikolajczyk, and J. Matas. Tracking-learning-detection. PAMI, 34(7): 1409-1422, 2012.
14. Z. Khan, T. Balch, and F. Dellaert. MCMC data association and sparse factorization updating for real time multitarget tracking with merged and multiple measurements. PAMI, 28(12):1960 - 1972, 2006.
15. C.-H. Kuo and R. Nevatia. How does person identity recognition help multi-person tracking. In CVPR, 2011.
16. S. Pellegrini, A. Ess, K. Schindler, and L. van Gool. You will never walk alone: Modeling social behavior for multi-target tracking. In ICCV, 2009.
17. H. Pirsiavash, D. Ramanan, and C. Fowlkes. Globally-optimal greedy algorithms for tracking a variable number of objects. In CVPR, pages 1-8, 2011.
18. T. Vojir and J. Matas. Robustifying the flock of trackers. In Computer Vision Winter Workshop, 2011.
19. Z. Wu, M. Betke, and T. H. Kunz. Efficient track linking methods for track graphs using network-flow and set-cover techniques. In CVPR, 2011. 8 pp.
20. Z.Wu, A. Thangali, S. Sclaroff, and M. Betke. Coupling detection and data association for multiple object tracking. In CVPR, 2012.
21. B. Yang and R. Nevatia. An online learned CRF model for multi-target tracking. In CVPR, 2012.
22. J. Zhang, L. Lo Presti, and S. Sclaroff. Online multi-person tracking by tracker hierarchy. In Proceeding of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), 2012.