Online feature selection for visual tracking

British Machine Vision Conference 2016, BMVC 2016

Volumn 2016-September, Issue , 2016, Pages 120.1-120.12

  Roffo, Giorgio ^a   Melzi, Simone ^a  

^a UNIVERSITY OF VERONA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; TRACKING (POSITION);

CLASSIFICATION TASKS; DISCRIMINATIVE FEATURES; EXTRINSIC FACTORS; ONLINE FEATURE SELECTION; REAL-TIME APPLICATION; SELECTION MECHANISM; STATE OF THE ART; TRACKING PERFORMANCE;

FEATURE EXTRACTION;

EID: 85041903190     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.30.120     Document Type: Conference Paper

References (39)

1. Amit Adam, Ehud Rivlin, and Ilan Shimshoni. Robust fragments-based tracking using the integral histogram. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2006.
2. Boris Babenko, Ming-Hsuan Yang, and Serge Belongie. Visual tracking with online multiple instance learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2011.
3. Chenglong Bao, Yi Wu, Haibin Ling, and Hui Ji. Real time robust l1 tracker using accelerated proximal gradient approach. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2012.
4. P. S. Bradley and O. L. Mangasarian. Feature selection via concave minimization and support vector machines. In Conf. International Conference on Machine Learning (ICML), 1998.
5. Robert Collins. Mean-shift blob tracking through scale space. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2003.
6. Robert Collins, Xuhui Zhou, and Seng Keat Teh. An open source tracking testbed and evaluation web site. In IEEE Workshop Performance Evaluation of Tracking and Surveillance (PETS), 2005.
7. Robert T. Collins, Yanxi Liu, and Marius Leordeanu. Online selection of discriminative tracking features. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2005.
8. Dorin Comaniciu, Visvanathan Ramesh, and Peter Meer. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2003.
9. Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, and Joost van de Weijer. Adaptive color attributes for real-time visual tracking. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2014.
10. Thang Ba Dinh, Nam Vo, and G. Medioni. Context tracker: Exploring supporters and distracters in unconstrained environments. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2011.
11. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results.
12. H. Grabner, M. Grabner, and H. Bischof. Real-time tracking via on-line boosting. In Conf. British Machine Vision Conference (BMVC), 2006.
13. Guillermo L. Grinblat, Javier Izetta, and Pablo M. Granitto. SVM based feature selection: Why are we using the dual? In Conf. Ibero-American Conference on AI, 2010.
14. Quanquan Gu, Zhenhui Li, and Jiawei Han. Generalized fisher score for feature selection. Computing Research Repository (CoRR), 2012.
15. Isabelle Guyon, Jason Weston, Stephen Barnhill, and Vladimir Vapnik. Gene selection for cancer classification using support vector machines. Machine Learning Journal, 2002.
16. Sam Hare, Amir Saffari, and Philip H. S. Torr. Struck: Structured output tracking with kernels. In IEEE Conf. International Conference on Computer Vision (ICCV), 2011.
17. Jo o F. Henriques, Rui Caseiro, Pedro Martins, and Jorge Batista. Exploiting the circulant structure of tracking-by-detection with kernels. In Conf. European Conference on Computer Vision (ECCV), 2012.
18. Xu Jia, Huchuan Lu, and Ming-Hsuan Yang. Visual tracking via adaptive structural local sparse appearance model. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2012.
19. Zdenek Kalal, Jiri Matas, and Krystian Mikolajczyk. Pn learning: Bootstrapping binary classifiers by structural constraints. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2010.
20. Junseok Kwon and Kyoung Mu Lee. Visual tracking decomposition. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2010.
21. Junseok Kwon and Kyoung Mu Lee. Tracking by sampling trackers. In IEEE Conf. International Conference on Computer Vision (ICCV), 2011.
22. Baiyang Liu, Junzhou Huang, Lin Yang, and C. Kulikowsk. Robust tracking using local sparse appearance model and k-selection. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2011.
23. H. Liu and H. Motoda, editors. Computational Methods of Feature Selection. Chapman & Hall Data Mining and Knowledge Discovery Series, 2008.
24. Piyushkumar A Mundra and Jagath C Rajapakse. SVM-RFE with mRMR filter for gene selection. IEEE Transactions on Nanobioscience, 2010.
25. Shaul Oron, Aharon Bar-Hillel, Dan Levi, and Shai Avidan. Locally orderless tracking. International Journal of Computer Vision, 111(2):213–228, 2015.
26. Hanchuan Peng, Fuhui Long, and Chris Ding. Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2005.
27. P. Perez, C. Hue, J. Vermaak, and M. Gangnet. Color-based probabilistic tracking. In Conf. European Conference on Computer Vision (ECCV), 2002.
28. Giorgio Roffo, Simone Melzi, and Marco Cristani. Infinite feature selection. In IEEE Conf. International Conference on Computer Vision (ICCV), 2015.
29. David A Ross, Jongwoo Lim, Ruei-Sung Lin, and Ming-Hsuan Yang. Incremental learning for robust visual tracking. International Journal of Computer Vision, 2008.
30. Laura Sevilla-Lara and Erik Learned-Miller. Distribution fields for tracking. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2012.
31. Severin Stalder, Helmut Grabner, and Luc Van Gool. Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition. In IEEE Conf. International Conference on Computer Vision (ICCV), 2009.
32. Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. Going deeper with convolutions. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015.
33. Joost van de Weijer, Cordelia Schmid, Jakob Verbeek, and Diane Larlus. Learning color names for real-world applications. IEEE Transactions on Image Processing, 2009.
34. Yi Wu, Bin Shen, and Haibin Ling. Online robust image alignment via iterative convex optimization. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2012.
35. Yi Wu, Jongwoo Lim, and Ming-Hsuan Yang. Online object tracking: A benchmark. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
36. Marco Zaffalon and Marcus Hutter. Robust feature selection using distributions of mutual information. In Conf. International Conference on Uncertainty in Artificial Intelligence (UAI), 2002.
37. Kaihua Zhang, Lei Zhang, and Ming-Hsuan Yang. Real-time compressive tracking. In Conf. European Conference on Computer Vision (ECCV), 2012.
38. Tianzhu Zhang, Bernard Ghanem, Si Liu, and Narendra Ahuja. Robust visual tracking via multi-task sparse learning. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2012.
39. Wei Zhong, Huchuan Lu, and Ming-Hsuan Yang. Robust object tracking via sparsity-based collaborative model. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2012.