Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

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

Volumn 07-12-June-2015, Issue , 2015, Pages 353-361

  Li, Yang ^a   Zhu, Jianke ^a   Hoi, Steven C H ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b SINGAPORE MANAGEMENT UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS;

MOTION TRAJECTORIES; PROBABILITY MODELING; SEQUENTIAL MONTE CARLO; STATE OF THE ART; TRACKING METHOD; TRACKING PROCESS; VISUAL OBJECTS; VISUAL TRACKING;

PATTERN RECOGNITION;

EID: 84959247253     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298632     Document Type: Conference Paper

References (43)

1. A. Adam, E. Rivlin, and I. Shimshoni. Robust fragmentsbased tracking using the integral histogram. In CVPR, 2006
2. A. Doucet, N. Freitas, and N. Gordon. Sequential Monte Carlo Methods in Practice. Springer-Verlag, 2001
3. B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In Proccedings of Imageing Understanding Workshop, 1981
4. B. Poling, G. Lerman, and A. Szlarm. Better feature tracking though subspace constraints. In CVPR, 2014
5. Z. Cai, L. Wen, J. Yang, Z. Lei, and S. Li. Structured visual tracking with dynamic graph. In ACCV, 2012
6. C. D. Manning, P. Raghavan, and H. Schutze. Introduction to Information Retrieval. Cambridge University Press, 2008
7. M. Danelljan, F. S. Khan, M. Felsberg, and J. van de Weijer. Adaptive color attributes for real-time visual tracking. In CVPR, 2014
8. D. S. Bolme, J. R. Beveridge, B. A. Draper, and Y. M. Lui. Visual object tracking using adaptive correlation filters. In CVPR, 2010
9. M. Everingham, L. Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The pascal visual object classese(voc) challenge. IJCV, 88(2):303-338, 2010
10. M. Grundmann, V. Kwatra, M. Han, and I. Essa. Efficient hierarchical graph based video segmentation. In CVPR, 2010
11. S. Hare, A. Saffari, and P. H. S. Torr. Struck: Structured output tracking with kernels. In ICCV, 2011
12. S. He, Q.-X. Yang, R. Lau, J. Wang, and M.-H. Yang. Visual tracking via locality sensitive histograms. In CVPR, 2013
13. F. Henriques, R. Caseiro, P. Martins, and J. Batista. Exploiting the circulant structure of tracking-by-detection with kernels. In ECCV, 2012
14. J. F. Henriques, R. Caseiro, P. Martins, and J. Batista. Highspeed tracking with kernelized correlation filters. TPAMI, 2015
15. S. Hinterstoisser, V. Lepetit, S. Ilic, P. Fua, and N. Navab. Dominant orientation templates for real-time detection of texture-less objects. In ICCV, 11
16. J. Gao, H. Ling, W. Hu, and J. Xing. Transfer learning based visual tracking with Gaussian process regression. In ECCV, 2014
17. X. Jia, H. Lu, and M.-H. Yang. Visual tracking via adaptive structural local sparse appearance model. In CVPR, pages 1822-1829, Providence, June 2012
18. M. J. Milford and Gordon. F. Wyyeth. Seqslam: Visual routebased navigation for sunny summer days and stormy winter nights. In IEEE International Conference on Robotics and Automation, 2012
19. G. Klein and D. Murray. Vparallel tracking and mapping for small ar workspaces. In ISMAR, 2007
20. J. Kwon and K. M. Lee. Visual tracking decomposition. In CVPR, 2010
21. J. Kwon and K. M. Lee. Tracking by sampling trackers. In ICCV, 2011
22. J. Kwon and K. M. Lee. Highly nonrigid object tracking via patch-based dynamic appearance modeling. TPAMI, 35(10):2427-2441, 2013
23. Y. Li and J. Zhu. A scale adaptive kernel correlation filter tracker with feature integration. In ECCV Workshops, pages 254-265, 2014
24. D. G. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004
25. X. Mei and H. Ling. Robust visual tracking using l1 minimization. In ICCV, 2009
26. M. E. Maresca and A. Petrosino. Matrioska: A multi-level approach to fast tracking by learning. In ICIAP, 2013
27. M. Godec, P. M. Roth, and H. Bischof. Hough-based traking of non-rigid objects. In ICCV, 2011
28. M. Grabner, H. Grabner, and H. Bischof. Learning features for tracking. In CVPR, 2007
29. M. Kristan, R. Pflugfelder, and A. et al. The visual object tracking vot2014 challenge results. In ECCV Workshops, 2014
30. G. Nebehay and R. Pflugfelder. Consensus-based matching and tracking of keypoints. In Winter Conference on Applications of Computer Visio, 2014
31. D. Ross, J. Lim, R.-S. Lin, and M.-H. Yang. Incremental learning for robust visual tracking. IJCV, 77(1-3):125-141, 2008
32. S. Hare, A. Saffari, and P. H. S. Torr. Efficient online structured output learning for keypoing-based object tracking. In CVPR, 2012
33. J. van de Weijer, C. Schmid, J. J. Verbeek, and D. Larlus. Learning color names for real-world applications. TIP, 18(7):15121524, 2009
34. T. Vojir and J. Matas. The enhanced flock of trackers. In Registration and Recognition in Images and Videos, 2014
35. D. Wang, H. Lu, and M.-H. Yang. Least soft-thresold squares tracking. In CVPR, Portland, June 2013
36. C. Wu, J. Zhu, J. Zhang, C. Chen, and D. Cai. A convolutional treelets binary feature approach to fast keypoint recognition. In ECCV, pages 368-382, 2012
37. Y. Wu, J. Lim, and M.-H. Yang. Online object tracking: A benchmark. In CVPR, 2013
38. J. Zhang, S. Ma, and S. Sclaroff. Meem: Robust tracking via multiple experts using entropy minimization. In ECCV, 2014
39. K. Zhang, L. Zhang, M.-H. Yang, and D. Zhang. Fast tracking via spatio-temporal context learning. In ECCV, 2014
40. L. Zhang and L. van der Maaten. Preserving structure in model-free tracking. IEEE Transactions on Pattern Recognition and Machine Intelligence, 36(4):756-769, 2014
41. W. Zhong, H. Lu, and M.-H. Yang. Robust object tracking via sparsity-based collaborative model. In CVPR, pages 1838-1845, Providence, June 2012
42. J. Zhu, S. C. H. Hoi, andM. R. Lyu. Nonrigid shape recovery by Gaussian process regression. In CVPR, pages 1319-1326, 2009
43. J. Zhu and M. R. Lyu. Progressive finite Newton approach to real-time nonrigid surface detection. In CVPR, 2007.