Robust tracking with discriminative ranking lists

IEEE Transactions on Image Processing

Volumn 21, Issue 7, 2012, Pages 3273-3281

  Tang, Ming ^a   Peng, Xi ^b  

^a INSTITUTE OF AUTOMATION   (China)

^b BAIDU INC   (China)

Author keywords

Background model; double scale patch; object tracking; ranking list

Indexed keywords

BACKGROUND MODEL; BOUNDING BOX; DIFFERENT SCALE; DOUBLE-SCALE PATCH; HIGH PROBABILITY; HIGH PURITY; K-NEAREST NEIGHBORS; OBJECT MODEL; OBJECT TRACKING; RANKING LIST; ROBUST TRACKING; TARGET OBJECT; TRACKING ALGORITHM;

MATHEMATICAL MODELS;

IMAGE PROCESSING;

EID: 84862553713     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2012.2189580     Document Type: Conference Paper

References (39)

1. M. Tang, X. Peng, and D. Chen, "Robust tracking with discriminative ranking lists," in Proc. ACCV, 2010, pp. 283-295.
2. B.D. Lucas and T.Kanade, "Iterative image registration technique with an application to stereo vision," in Proc. IJCAI, 1981, pp. 674-679.
3. M. Isard and A. Blake, "CONDENSATION-Conditional density propagation for visual tracking," Int. J. Comput. Vis., vol. 29, no. 1, pp. 5-28, 1998.
4. S.Avidan, "Support vector tracking," IEEE Trans. Pattern Anal.Mach. Intell., vol. 26, no. 8, pp. 1064-1072, Aug. 2004.
5. Y. Wu and T. Huang, "Robust visual tracking by integrating multiple cues based on co-inference learning," Int. J. Comput. Vis., vol. 58, no. 1, pp. 55-71, Jun. 2004.
6. G. Hager, M. Dewan, and C. Stewart, "Multiple kernel tracking with SSD," in Proc. CVPR, 2004, pp. I-790-I-797.
7. M. Yang, Y. Wu, and G. Hua, "Context-aware tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 7, pp. 1195-1209, Jul. 2009.
8. M. Yang, Z. Fan, J. Fan, and Y. Wu, "Tracking nonstationary visual appearances by data-driven adaptation," IEEE Trans. Image Process., vol. 18, no. 7, pp. 1633-1644, Jul. 2009.
9. B. Babenko, M. Yang, and S. Belongie, "Visual tracking with online multiple instance learning," in Proc. CVPR, Jun. 2009, pp. 983-990.
10. J. Santner, C. Leistner, A. Saffari, T. Pock, and H. Bischof, "Prost: Parallel robust online simple tracking," in Proc. CVPR, Jun. 2010, pp. 723-730.
11. J.Kwon and K. Lee, "Visual tracking decomposition," in Proc. CVPR, Jun. 2010, pp. 1269-1276.
12. J. Fan, X. Shen, and Y. Wu, "Closed-loop adaptation for robust tracking," in Proc. ECCV, 2010, pp. 411-424.
13. R. Collins, Y. Liu, and M. Leordeanu, "Online selection of discriminative tracking features," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 10, pp. 1631-1643, Oct. 2005.
14. Z. Yin and R. Collins, "Spatial divide and conquer with motion cues for tracking through clutter," in Proc. CVPR, Jun. 2006, vol. 1, pp. 570-577.
15. H. Grabner and H. Bischof, "On-line boosting and vision," in Proc. CVPR, Jun. 2006, vol. 1, pp. 260-267.
16. L. Lu and D. G. Hager, "A nonparametric treatment for location/segmentation based visual tracking," in Proc. CVPR, Jun. 2007, pp. 1-8.
17. S. Avidan, "Ensemble tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 2, pp. 261-271, Feb. 2007.
18. F. Tang, S. Brennan, Q. Zhao, and H. Tao, "Co-tracking using semisupervised support vector machines," in Proc. ICCV, Oct. 2007, pp. 1-8.
19. T. Parag, F. Porikli, and A. Elgammal, "Boosting adaptive linear weak classifiers for online learning and tracking," in Proc. CVPR, Jun. 2008, pp. 1-8.
20. R. Liu, J. Cheng, and H. Q. Lu, "Robust boosting tracker with minimum error bound in a co-training framework," in Proc. ICCV, 2009, pp. 1459-1466.
21. V. Mahadevan and N. Vasconcelos, "Saliency-based discriminant tracking," in Proc. CVPR, Jun. 2009, pp. 1007-1013.
22. J. Fan, Y. Wu, and S. Dai, "Discriminative spatial attention for robust tracking," in Proc. ECCV, 2010, pp. 480-493.
23. I. Leichter, M. Lindenbaum, and E. Rivlin, "General framework for combining visual trackers c the black boxes approach," Int. J. Comput. Vis., vol. 67, no. 3, pp. 343-363, May 2006.
24. B. Zhong, H. Yao, S. Chen, R. Ji, X. Yuan, S. Liu, andW. Gao, "Visual tracking via weakly supervised learning from multiple imperfect oracles," in Proc. CVPR, Jun. 2010, pp. 1323-1330.
25. Z. Kalal, J. Matas, and K. Mikolajczyk, "P-n learning: Bootstrapping binary classifiers from unlabeled data by structural constraints," in Proc. CVPR, San Francisco, CA, Jun. 2010, pp. 49-56.
26. A. Adam, E. Rivlin, and I. Shimshoni, "Robust fragments-based tracking using the integral histogram," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2006, pp. 798-805.
27. H. Grabner, C. Leistner, and H. Bischof, "Semi-supervised on-line boosting for robust tracking," in Proc. ECCV, 2008, vol. 5302, pp. 234-247.
28. M. Donoser and H. Bischof, "Efficient maximally stable extremal region (MSER) tracking," in Proc. CVPR, Jun. 2006, pp. 553-560.
29. M. Yang, J. Yuan, and Y. Ying Wu, "Spatial selection for attentional visual tracking," in Proc. CVPR, Jun. 2007, pp. 1-8.
30. J. Kwon and K. Lee, "Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive basin hopping Monte Carlo sampling," in Proc. CVPR, Jun. 2009, pp. 1208-1215.
31. D. Comaniciu, V. Ramesh, and P. Meer, "Kernel-based object tracking," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 5, pp. 564-577, May 2003.
32. C. John, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986.
33. P. K. Mallapragada, R. Jin, A. K. Jain, and Y. Liu, "Semiboost- Boosting for semi-supervised learning," IEEE Trans. PAMI, vol. PAMI-31, no. 11, pp. 2000-2014, Nov. 2009.
34. P. Viola, J. C. Platt, and C. Zhang, "Multiple instance boosting for object detection," Neural Inf. Process. Syst., vol. 18, no. 3, pp. 1417-1424, 2006.
35. A. d'Aspremont, L. El Ghaoui, M. Jordan, and G. Lanckriet, "A direct formulation for sparse PCA using semidefinite programming," SIAM Rev., vol. 49, no. 3, pp. 434-448, 2007.
36. J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust wide baseline stereo from maximally stable extremal regions," in Proc. BMVC, 2002, pp. 384-393.
37. Y. Wu and J. Fan, "Contextual flow," in Proc. CVPR, Jun. 2009, pp. 33-40.
38. H. Cheng, Z. Liu, N. Zheng, and J. Yang, "A deformable local image descriptor," in Proc. CVPR, Jun. 2008, pp. 1-8.
39. K. Fukunaga and I. Hostetler, "The estimation of the gradient of a density function with applications in pattern recognition," IEEE Trans. Inf. Theory, vol. IT-21, no. 1, pp. 32-40, Jan. 1975.