Hierarchical data association framework with occlusion handling for multiple targets tracking

IEEE Signal Processing Letters

Volumn 21, Issue 3, 2014, Pages 288-291

  Yi, Yang ^a,b   Xu, Haohui ^a,b  

^a SUN YAT SEN UNIVERSITY   (China)

^b SYSU CMU SHUNDE INTERNATIONAL JOINT RESEARCH INSTITUTE   (China)

Author keywords

Data association; online multiple targets tracking; tracking by detection; visual tracking

Indexed keywords

DATA ASSOCIATION; HIERARCHICAL DATA; MULTIPLE TARGETS TRACKING; OCCLUSION HANDLING; RUN-TIME PERFORMANCE; STATE-OF-THE-ART METHODS; TRACKING-BY-DETECTION; VISUAL TRACKING;

SIGNAL PROCESSING;

ELECTRICAL ENGINEERING;

EID: 84893839609     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2014.2300497     Document Type: Article

References (19)

1. M. Breitenstein, F. Reichlin, B. Leibe, E. Koller-Meier, and L. Van Gool, "Online multiperson tracking-by-detection from a single, uncalibrated camera," IEEE Trans. Patt. Anal. Mach. Intell., vol. 33, no. 9, pp. 1820-1833, 2011.
2. X. Yan, X.Wu, I.Kakadiaris, and S. Shah, "To track or to detect? an ensemble framework for optimal selection," ECCV, pp. 594-607, 2012.
3. C. Huang, B. Wu, and R. Nevatia, "Robust object tracking by hierarchical association of detection responses," ECCV, pp. 788-801, 2008.
4. A. Andriyenko, S. Roth, and K. Schindler, "An analytical formulation of global occlusion reasoning for multi-target tracking," ICCV Workshops, pp. 1839-1846, 2011.
5. J. Henriques, R. Caseiro, and J. Batista, "Globally optimal solution to multi-object tracking with merged measurements," ICCV, pp. 2470-2477, 2011.
6. B. Yang and R. Nevatia, "An online learned crf model for multi-target tracking," CVPR, pp. 2034-2041, 2012.
7. A. Andriyenko, K. Schindler, and S. Roth, "Discrete-continuous optimization for multi-target tracking," CVPR, pp. 1926-1933, 2012.
8. B. Yang and R. Nevatia, "Multi-target tracking by online learning of non-linear motion patterns and robust appearance models," CVPR, pp. 1918-1925, 2012.
9. B. Benfold and I. Reid, "Stable multi-target tracking in real-time surveillance video," CVPR, pp. 3457-3464, 2011.
10. G. Shu, A. Dehghan, O. Oreifej, E. Hand, and M. Shah, "Part-based multiple-person tracking with partial occlusion handling," CVPR, pp. 1815-1821, 2012.
11. H. Grabner, J. Matas, L. Van Gool, and P. Cattin, "Tracking the invisible: Learning where the object might be," CVPR, pp. 1285-1292, 2010.
12. G. Duan, H. Ai, S. Cao, and S. Lao, "Group tracking: Exploring mutual relations for multiple object tracking," ECCV, pp. 129-143, 2012.
13. W. Choi and S. Savarese, "Multiple target tracking in world coordinate with single, minimally calibrated camera," ECCV, pp. 553-567, 2010.
14. Z. Qin and C. Shelton, "Improving multi-target tracking via social grouping," CVPR, pp. 1972-1978, 2012.
15. C. García Cifuentes, M. Sturzel, F. Jurie, and G. J. Brostow, "Motion models that only work sometimes," BMVC, 2012.
16. B. Song, T.-Y. Jeng, E. Staudt, and A. K. Roy-Chowdhury, "A stochastic graph evolution framework for robust multi-target tracking," ECCV, pp. 605-619, 2010.
17. L. Zhang, Y. Li, and R. Nevatia, "Global data association for multiobject tracking using network flows," CVPR, pp. 1-8, 2008.
18. C. Wojek, S. Walk, S. Roth, and B. Schiele, "Monocular 3d scene understanding with explicit occlusion reasoning," CVPR, pp. 1993-2000, 2011.
19. K. Bernardin and R. Stiefelhagen, "Evaluating multiple object tracking performance: The clear mot metrics," J. Image Video Process., vol. 2008, pp. 1-10, 2008.