Learn++ for robust object tracking

BMVC 2014 - Proceedings of the British Machine Vision Conference 2014

Volumn , Issue , 2014, Pages

  Zheng, Feng ^a   Shao, Ling ^a   Brownjohn, James ^b   Racic, Vitomir ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

CONCEPT DRIFTS; ENVIRONMENTAL CONDITIONS; NON-STATIONARY ENVIRONMENT; OBJECT TRACKING; ONLINE METHODS; OPTIMAL CLASSIFIERS; RECENT PERFORMANCE; STATE-OF-THE-ART PERFORMANCE;

TRACKING (POSITION);

EID: 84919754299     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Dimitris Achlioptas. Database-friendly random projections: Johnson-lindenstrauss with binary coins. Journal of Computer and System Sciences, 66:671-687, 2003.
2. Amit Adam, Ehud Rivlin, and Ilan Shimshoni. Robust fragments-based tracking using the integral histogram. In Proc. CVPR, 2006.
3. Shai Avidan. Ensemble tracking. IEEE Tansactions on PAMI, 29(2):261-271, 2007.
4. Boris Babenko, Ming-Hsuan Yang, and Serge Belongie. Robust object tracking with online multiple instance learning. IEEE Tansactions on PAMI, 33(8):1619-1632, 2011.
5. Qinxun Bai, ZhengWu, Stan Sclaroff, Margrit Betke, and Camille Monnier. Randomized ensemble tracking. In Proc. ICCV, 2013.
6. Christopher M. Bishop. Pattern Recognition and Machine Learning. Springer, ISBN: 0-38731073-8, 2007.
7. Robert T. Collins, Yanxi Liu, andMarius Leordeanu. Online selection of discriminative tracking features. IEEE Tansactions on PAMI, 27(10):1631-1643, 2005.
8. Helmut Grabner and Horst Bischof. On-line boosting and vision. In Proc. CVPR, 2006.
9. Helmut Grabner, Christian Leistner, and Horst Bischof. Semi-supervised on-line boosting for robust tracking. In Proc. ECCV, 2008.
10. Sam Hare, Amir Saffari, and Philip H. S. Torr. Struck: Structured output tracking with kernels. In Proc. ICCV, 2011.
11. Zdenek Kalal, Jiri Matas, and Krystian Mikolajczyk. P-n learning: Bootstrapping binary classifiers by structural constraints. In Proc. CVPR, 2010.
12. Matthew Karnick, Metin Ahiskali, Michael D. Muhlbaier, and Robi Polikar. Learning concept drift in nonstationary environments using an ensemble of classifiers based approach. In Proc. IJCNN, 2008.
13. Junseok Kwon and Kyoung Mu Lee. Visual tracking decomposition. In Proc. CVPR, 2010.
14. Junseok Kwon and Kyoung Mu Lee. Tracking by sampling trackers. In Proc. ICCV, 2011.
15. Bruce D. Lucas and Takeo Kanade. An iterative image registration technique with an application to stereo vision. In Proc. IJCAI, 1981.
16. Xue Mei and Haibin Ling. Robust visual tracking using l1 minimization. In Proc. ICCV, 2009.
17. Mustafa Ozuysal, Pascal Fua, and Vincent Lepetit. Fast keypoint recognition in ten lines of code. In Proc. CVPR, 2007.
18. Robi Polikar, Lalita Udpa, Satish S. Udpa, and Vasant Honavar. Learn++: An incremental learning algorithm for supervised neural networks. IEEE Tansactions on System, Man, and Cybernetics-Part C: Application and Reviews, 31(4):497-508, 2001.
19. David A. Ross, Jongwoo Lim, Ruei-Sung Lin, and Ming-Hsuan Yang. Incremental learning for robust visual tracking. International Journal of Computer Vision, 77(3): 125-141, 2008.
20. Jakob Santner, Christian Leistner, Amir Saffari Thomas Pock, and Horst Bischof. Prost: Parallel robust online simple tracking. In Proc. CVPR, 2010.
21. Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang. Online object tracking: A benchmark. In Proc. CVPR, 2013.
22. HanxuanYang, Ling Shao, Feng Zheng, LiangWang, and Zhan Song. Recent advances and trends in visual tracking: A review. Neurocomputing, 74(18):3823-3831, 2011.
23. Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon. Visual tracking via adaptive tracker selection with multiple features. In Proc. ECCV, 2012.
24. Kaihua Zhang, Lei Zhang, and Ming-Hsuan Yang. Real-time compressive tracking. In Proc. ECCV, 2012.