Object tracking by occlusion detection via structured sparse learning

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2013, Pages 1033-1040

  Zhang, Tianzhu ^a   Ghanem, Bernard ^a,b   Xu, Changsheng ^c   Ahuja, Narendra ^a,d  

^a Advanced Digital Sciences Center of Illinois   (Singapore)

^b KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ILLUMINATION CHANGES; ILLUMINATION VARIATION; IMAGE VARIATIONS; OCCLUSION DETECTION; SPARSE REPRESENTATION; TARGET REPRESENTATION; TRACKING ALGORITHM; VISUAL TRACKING;

ERRORS; IMAGE PROCESSING; PATTERN RECOGNITION; TRACKING (POSITION);

PIXELS;

EID: 84884935427     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2013.150     Document Type: Conference Paper

References (25)

1. A. Adam, E. Rivlin, and I. Shimshoni. Robust fragments-based tracking using the integral histogram. In CVPR, pages 798-805, 2006.
2. B. Babenko, M.-H. Yang, and S. Belongie. Visual tracking with online multiple instance learning. In CVPR, 2009.
3. P. Chockalingam, N. Pradeep, and S. Birchfield. Adaptive fragmentsbased tracking of non-rigid objects using level sets. In ICCV, 2009.
4. T. B. Dinh, N. Vo, and G. Medioni. Context Tracker: Exploring Supporters and Distracters in Unconstrained Environments. In CVPR, 2011.
5. F. Fleuret, J. Berclaz, R. Lengagne, and P. Fua. Multicamera people tracking with a probabilistic occupancy map. IEEE Trans. PAMI, 30(2):267-282, 2008.
6. V. Gay-Bellile, A. Bartoli, and P. Sayd. Direct estimation of nonrigid registrations with image-based self-occlusion reasoning. IEEE Trans. PAMI, 32(1):87-104, 2010.
7. H. Grabner, M. Grabner, and H. Bischof. Real-Time Tracking via On-line Boosting. In BMVC, 2006.
8. B. Han and L. Davis. On-line density-based appearance modeling for object tracking. In ICCV, 2005.
9. T. Kaneko and O. Hori. Feature selection for reliable tracking using template matching. In IEEE Conference on Computer Vision and Pattern Recognition, pages 796-802, 2003.
10. S. Kwak, W. Nam, B. Han, and J. H. Han. Learning occlusion with likelihoods for visual tracking. In ICCV, 2011.
11. Z. Lin, A. Ganesh, J. Wright, L. Wu, M. Chen, and Y. Ma. Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix. In Technical Report UILU-ENG-09-2214, UIUC, August 2009.
12. B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision (darpa). In DARPA Image Understanding Workshop, pages 121-130, April 1981.
13. I. Matthews, T. Ishikawa, and S. Baker. The template update problem. TPAMI, 26:810-815, 2004.
14. X. Mei and H. Ling. Robust Visual Tracking and Vehicle Classification via Sparse Representation. TPAMI, 33(11):2259-2272, 2011.
15. A. Mittal and L. S. Davis. M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene. IJCV, 51(3):189-203, 2003.
16. Y. Peng, A. Ganesh, J. Wright,W. Xu, and Y. Ma. RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images. TPAMI (to appear), 2011.
17. D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang. Incremental Learning for Robust Visual Tracking. IJCV, 77(1):125-141, 2008.
18. D. Ross, J. Lim, and M. Yang. Adaptive probabilistic visual tracking with incremental subspace update. In ECCV, 2004.
19. M. Yang, J. Yuan, and Y. Wu. Spatial selection for attentional visual tracking. In CVPR, 2007.
20. M. Yang, Y.Wu, and G. Hua. Context-aware visual tracking. PAMI, 31(1):1195-1209, 2009.
21. A. Yilmaz, O. Javed, and M. Shah. Object tracking: A survey. ACM Comput. Surv., 38(4):13-58, Dec. 2006.
22. K. Zhang, L. Zhang, and M.-H. Yang. Real-time compressive tracking. In ECCV, 2012.
23. T. Zhang, B. Ghanem, S. Liu, and N. Ahuja. Low-rank sparse learning for robust visual tracking. In ECCV, 2012.
24. T. Zhang, B. Ghanem, S. Liu, and N. Ahuja. Robust visual tracking via multitask sparse learning. In CVPR, 2012.
25. T. Zhang, B. Ghanem, S. Liu, and N. Ahuja. Robust visual tracking via structured multi-task sparse learning. IJCV, 101(2):367-383, 2013.