Robust object tracking via sparse collaborative appearance model

IEEE Transactions on Image Processing

Volumn 23, Issue 5, 2014, Pages 2356-2368

  Zhong, Wei ^a   Lu, Huchuan ^a   Yang, Ming Hsuan ^b  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b Merced   (United States)

Author keywords

collaborative model; feature selection; Object tracking; occlusion handling; sparse representation

Indexed keywords

ALGORITHMS; FACE RECOGNITION; FEATURE EXTRACTION;

COLLABORATIVE MODEL; DISCRIMINATIVE CLASSIFIERS; HISTOGRAM-BASED METHOD; OBJECT TRACKING; OBJECT TRACKING ALGORITHM; OCCLUSION HANDLING; SPARSE REPRESENTATION; STATE-OF-THE-ART ALGORITHMS;

TRACKING (POSITION);

EID: 84899874514     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2014.2313227     Document Type: Article

References (36)

1. D. Comaniciu, V. R. Member, and P. Meer, "Kernel-based object tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 5, pp. 564-575, May 2003.
2. P. Pérez, C. Hue, J. Vermaak, and M. Gangnet, "Color-based probabilistic tracking," in Proc. Eur. Conf. Comput. Vis., 2002, pp. 661-675.
3. Y. Li, H. Ai, T. Yamashita, S. Lao, and M. Kawade, "Tracking in low frame rate video: A cascade particle filter with discriminative observers of different life spans," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 10, pp. 1728-1740, Oct. 2008.
4. D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang, "Incremental learning for robust visual tracking," Int. J. Comput. Vis., vol. 77, nos. 1-3, pp. 125-141, 2008. (Pubitemid 351294740)
5. S. Avidan, "Ensemble tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 2, pp. 261-271, Feb. 2007. (Pubitemid 46420886)
6. S. Wang, H. Lu, F. Yang, and M.-H. Yang, "Superpixel tracking," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 1323-1330.
7. H. Grabner and H. Bischof, "On-line boosting and vision," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2006, pp. 260-267. (Pubitemid 44931339)
8. H. Grabner, C. Leistner, and H. Bischof, "Semi-supervised on-line boosting for robust tracking," in Proc. 10th Eur. Conf. Comput. Vis., Jan. 2008, pp. 234-247.
9. B. Babenko, M.-H. Yang, and S. Belongie, "Visual tracking with online multiple instance learning," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jan. 2009, pp. 983-990.
10. Z. Kalal, K. Mikolajczyk, and J. Matas, "Tracking-learning- detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 7, pp. 1409-1422, Jul. 2012.
11. B. D. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," in Proc. Int. Joint Conf. Artif. Intell., 1981, pp. 121-130.
12. S. Baker and I. Matthews, "Lucas-Kanade 20 years on: A unifying framework," Int. J. Comput. Vis., vol. 56, no. 3, pp. 221-255, Feb. 2004.
13. A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2006, pp. 798-805. (Pubitemid 44931406)
14. X. Jia, H. Lu, and M.-H. Yang, "Visual tracking via adaptive structural local sparse appearance model," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2012, pp. 1822-1829.
15. X. Mei and H. Ling, "Robust visual tracking using -1 minimization," in Proc. IEEE 12th Int. Conf. Comput. Vis., Oct. 2009, pp. 1436-1443.
16. B. Liu, L. Yang, J. Huang, P. Meer, L. Gong, and C. Kulikowski, "Robust and fast collaborative tracking with two stage sparse optimization," in Proc. 11th Eur. Conf. Comput. Vis., 2010, pp. 624-637.
17. B. Liu, J. Huang, L. Yang, and C. Kulikowsk, "Robust tracking using local sparse appearance model and k-selection," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2011, pp. 1313-1320.
18. S. Avidan, "Support vector tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 8, pp. 1064-1072, Aug. 2004.
19. F. Tang, S. Brennan, Q. Zhao, and H. Tao, "Co-tracking using semisupervised support vector machines," in Proc. IEEE 11th Int. Conf. Comput. Vis., Oct. 2007, pp. 1-8.
20. Q. Wang, F. Chen, W. Xu, and M.-H. Yang, "Online discriminative object tracking with local sparse representation," in Proc. IEEE Workshop Appl. Comput. Vis., Jan. 2012, pp. 425-432.
21. Q. Yu, T. B. Dinh, and G. G. Medioni, "Online tracking and reacquisition using co-trained generative and discriminative trackers," in Proc. 10th ECCV, 2008, pp. 678-691.
22. R. Liu, J. Cheng, and H. Lu, "A robust boosting tracker with minimum error bound in a co-training framework," in Proc. IEEE Int. Conf. Comput. Vis., Oct. 2009, pp. 1459-1466.
23. J. Santner, C. Leistner, A. Saffari, T. Pock, and H. Bischof, "PROST: Parallel robust online simple tracking," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2010, pp. 723-730.
24. T. B. Dinh and G. G. Medioni, "Co-training framework of generative and discriminative trackers with partial occlusion handling," in Proc. IEEE Workshop Appl. Comput. Vis., Jan. 2011, pp. 642-649.
25. W. Zhong, H. Lu, and M.-H. Yang, "Robust object tracking via sparsitybased collaborative model," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2012, pp. 1838-1845.
26. A. Yilmaz, O. Javed, and M. Shah, "Object tracking: A survey," ACM Comput. Surveys, vol. 38, no. 4, pp. 1-45, 2006.
27. K. Cannons, "A review of visual tracking," Dept. Comput. Sci., York Univ., Toronto, ON, Canada, Tech. Rep. CSE-2008-07, 2008.
28. T. Zhang, B. Ghanem, S. Liu, and N. Ahuja, "Robust visual tracking via multi-task sparse learning," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2012, pp. 2042-2049.
29. T. Zhang, B. Ghanem, S. Liu, and N. Ahuja, "Low-rank sparse learning for robust visual tracking," in Proc. ECCV, 2012, pp. 2042-2049.
30. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 2, pp. 210-227, Feb. 2009.
31. J. Yang, K. Yu, Y. Gong, and T. Huang, "Linear spatial pyramid matching using sparse coding for image classification," in Proc. IEEE Conf. CVPR, Jun. 2009, pp. 1794-1801.
32. J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong, "Localityconstrained linear coding for image classification," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 3360-3367.
33. S. Gao, I. W.-H. Tsang, L.-T. Chia, and P. Zhao, "Local features are not lonely-Laplacian sparse coding for image classification," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 3555-3561.
34. I. Matthews, T. Ishikawa, and S. Baker, "The template update problem," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 6, pp. 810-815, Jun. 2004.
35. J. Kwon and K. M. Lee, "Visual tracking decomposition," in Proc. IEEE Conf. CVPR, Jun. 2010, pp. 1-10.
36. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, "The pascal visual object classes (VOC) challenge," Int. J. Comput. Vis., vol. 88, no. 2, pp. 303-338, Jun. 2010.