Visual tracking via probability continuous outlier model

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3478-3485

  Wang, Dong ^a   Lu, Huchuan ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Linear Representation; Outlier Model; Visual Tracking

Indexed keywords

IMAGE SEGMENTATION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; PATTERN RECOGNITION;

LIKELIHOOD FUNCTIONS; LINEAR REPRESENTATION; MARKOV RANDOM FIELD MODEL; NOISY OBSERVATIONS; OBJECTIVE FUNCTIONS; QUANTITATIVE EVALUATION; SPATIAL CONSISTENCY; VISUAL TRACKING;

STATISTICS;

EID: 84911412655     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.445     Document Type: Conference Paper

References (28)

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, pages 983-990, 2009.
3. C. Bao, Y. Wu, H. Ling, and H. Ji. Real time robust t\ tracker using accelerated proximal gradient approach. In CVPR, pages 1830-1837, 2012.
4. Y Boykov and M.-P. Jolly. Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images. In ICCV, pages 105-112, 2001.
5. CAVIAR. http://groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/.
6. D. Comaniciu, V R. Member, and P. Meer. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):564-575, 2003.
7. J. Fan, X. Shen, and Y Wu. Scribble tracker: A matting-based approach for robust tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(8):1633-1644, 2012.
8. L. Ford and D. Fulkerson. Flows in Networks. Princeton University Press, 1962.
9. H. Grabner and H. Bischof. On-line boosting and vision. In CVPR, pages 260-267, 2006.
10. W. Hu, X. Li, W. Luo, X. Zhang, S. J. Maybank, and Z. Zhang. Single and multiple object tracking using log-euclidean riemannian subspace and block-division appearance model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(12):2420-2440, 2012.
11. X. Jia, H. Lu, and M.-H. Yang. Visual tracking via adaptive structural local sparse appearance model. In CVPR, pages 1822-1829, 2012.
12. Z. Kalal, K. Mikolajczyk, and J. Matas. Tracking-learning-detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(7):1409-1422, 2012.
13. V Kolmogorov and R. Zabih. What energy functions can be minimized via graph cuts? IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2):147-159, 2004.
14. J. Kwon and K. M. Lee. Visual tracking decomposition. In CVPR, pages 1269-1276, 2010.
15. S. Z. Li. Markov Random Field Modeling in Image Analysis. Springer, 2009.
16. 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 Transactions on Pattern Analysis and Machine Intelligence, 30(10):1728-1740, 2008.
17. B. Liu, J. Huang, L. Yang, and C. A. Kulikowski. Robust tracking using local sparse appearance model and K-selection. In CVPR, pages 1313-1320, 2011.
18. X. Mei and H. Ling. Robust visual tracking using t\ minimization. In ICCV, pages 1436-1443, 2009.
19. D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang. Incremental learning for robust visual tracking. International Journal of Computer Vision, 77(1-3):125-141, 2008.
20. A. Saffari, C. Leistner, J. Santner, M. Godec, and H. Bischof. On-line random forests. In IEEE International Conference on Computer Vision Workshops, 2009.
21. F Tang, S. Brennan, Q. Zhao, and H. Tao. Co-tracking using semi-supervised support vector machines. In ICCV, pages 1-8, 2007.
22. M. A. Turk and A. P. Pentland. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71-86, 2001.
23. D. Wang H. Lu and M.-H. Yang. Least soft-threshold squares tracking. In CVPR pages 2371-2378 2013.
24. D. Wang H. Lu and M.-H. Yang. Online object tracking with sparse prototypes. IEEE Transactions on Image Processing 22(1):314-325 2013.
25. J. Wright, A. Y Yang, A. Ganesh, S.S. Sastry, and Y Ma. Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2):210-227, 2009.
26. A. Yilmaz O. Javed and M. Shah. Object tracking: A survey. ACM Computing Surveys 38(4):1-45 2006.
27. K. Zhang L. Zhang and M.-H. Yang. Real-time compressive tracking. In ECCV pages 864-877 2012.
28. T. Zhang B. Ghanem S. Liu andN. Ahuja. Robust visual tracking via multitask sparse learning. In CVPR pages 2042-2049 2012.