Visual tracking via structure constrained grouping

IEEE Signal Processing Letters

Volumn 22, Issue 7, 2015, Pages 794-798

  Wang, Lijun ^a   Lu, Huchuan ^a   Wang, Dong ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Sparse representation; Structural grouping; Visual tracking

Indexed keywords

ALGORITHMS;

GROUPING PROBLEM; GROUPING PROCESS; LOCAL STRUCTURE; OBJECT REGION; PRIOR INFORMATION; SPARSE REPRESENTATION; STRUCTURAL GROUPINGS; VISUAL TRACKING;

TRACKING (POSITION);

EID: 84914811123     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2014.2369476     Document Type: Article

References (21)

1. 1 minimization," in ICCV, 2009, pp. 1436-1443.
2. T. Zhang, B. Ghanem, S. Liu, and N. Ahuja, "Robust visual tracking via multi-task sparse learning," in CVPR, 2012, pp. 2042-2049.
3. H. Grabner, C. Leistner, and H. Bischof, "Semi-supervised on-line boosting for robust tracking," in ECCV, 2008, pp. 234-247.
4. B. Babenko, M.-H. Yang, and S. J. Belongie, "Visual tracking with online multiple instance learning," in CVPR, 2009, pp. 983-990.
5. S. Hare, A. Saffari, and P. H. S. Torr, "Struck: Structured output tracking with kernels," in ICCV, 2011, pp. 263-270.
6. R. Yao, Q. Shi, C. Shen, Y. Zhang, and A. van den Hengel, "Part-based visual tracking with online latent structural learning," in CVPR, 2013.
7. D. A. Ross, J. Lim, R.-S. Lin, and M.-H. Yang, "Incremental learning for robust visual tracking," IJCV, vol. 77, no. 1-3, pp. 125-141, 2008.
8. D. Wang, H. Lu, and M.-H. Yang, "Online object tracking with sparse prototypes," TIP, vol. 22, no. 1, pp. 314-325, 2013.
9. J. Kwon, J. Roh, K. M. Lee, and L. V. Gool, "Robust visual tracking with double bounding box model," in ECCV, 2014, pp. 377-392.
10. X. Ren and J. Malik, "Tracking as repeated figure/ground segmentation," in CVPR, 2007.
11. J. Fan, X. Shen, and Y. Wu, "Scribble tracker: A matting-based approach for robust tracking," IEEE Trans. Patt. Anal. Mach. Intell., vol. 34, no. 8, pp. 1633-1644, 2012.
12. M. Godec, P. M. Roth, and H. Bischof, "Hough-based tracking of non-rigid objects," Comput. Vis. Image Understand., vol. 117, no. 10, pp. 1245-1256, 2013.
13. F. Yang, H. Lu, and M.-H. Yang, "Robust superpixel tracking," IEEE Trans. Image Process., vol. 23, no. 4, pp. 1639-1651, 2014.
14. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Patt. Anal. Mach. Intell., vol. 24, no. 5, 2002.
15. P. F. Felzenszwalb and D. P. Huttenlocher, "Efficient graph-based image segmentation," Int. J. Comput. Vis., vol. 59, no. 2, pp. 167-181, 2004.
16. B. Peng, L. Zhang, and D. Zhang, "Automatic image segmentation by dynamic region merging," IEEE Trans. Image Process., vol. 20, no. 12, pp. 3592-3605, 2011.
17. J. R. R. Uijlings, K. E. A. van de Sande, T. Gevers, and A. W. M. Smeulders, "Selective search for object recognition," Int. J. Comput. Vis., vol. 104, no. 2, pp. 154-171, 2013.
18. S. He, Q. Yang, R. W. Lau, J. Wang, and M.-H. Yang, "Visual tracking via locality sensitive histograms," in CVPR, 2013, pp. 2427-2434.
19. Z. Kalal, K. Mikolajczyk, and J. Matas, "Tracking-Learning-Detection," IEEE Trans. Patt. Anal. Mach. Intell., vol. 34, no. 7, pp. 1409-1422, 2012.
20. J. Kwon and K. M. Lee, "Visual tracking decomposition," in CVPR, 2010, pp. 1269-1276.
21. R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Süsstrunk, "SLIC superpixels," EPFL, vol. 149300, 2010.