An Online Learning Visual Tracking Method Based On Compressive Sensing

Liu Wei; Zhao Wenjie; Li Cheng

doi:10.3788/aos201535.0915001

[1] Wu Y, Lim J, Yang M H. Online object tracking: A benchmark[C]. Computer Vision and Pattern Recognition, Conference on. IEEE, 2013, 2411-2418.

[2] Ross D A, Lim J, Lin R S, et al.. Incremental learning for robust visual tracking[C]. International Journal of Computer Vision, 2008, 77(1-3): 125-141.

[3] Mei X, Ling H. Robust visual tracking and vehicle classification via sparse representation[C]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2011, 33(11): 2259-2272.

[4] Li H, Shen C, Shi Q. Real-time visual tracking using compressive sensing[C]. Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011: 1305-1312.

[5] Grabner H, Leistner C, Bischof H. Semi-Supervised On-Line Boosting for Robust Tracking[M]. Heidelberg: Springer, 2008: 234-247.

[6] Babenko B, Yang M H, Belongie S. Robust object tracking with online multiple instance learning[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2011, 33(8): 1619-1632.

[7] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2012, 34(7): 1409-1422.

[8] Zhang K, Zhang L, Yang M H. Real-Time Compressive Tracking[M]. Heidelberg: Springer, 2012: 864-877.

[9] Wu Y, Jia N, Sun J. Real-time multi-scale tracking based on compressive sensing[J]. The Visual Computer, 2014, 31(4): 471-484.

[10] Zhu Q, Yan J, Deng D. Compressive tracking via oversaturated sub-region classifiers[J]. Computer Vision, IET, 2013, 7(6): 448-455.

[11] Jing J, Xu G, Lei B, et al.. Using appearance re-matching to improve real-time compressive tracking[C]. Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service. ACM, 2013: 28-33.

[12] Zhu Qiuping, Yan Jia, Zhang Hu, et al.. Real-time tracking using multiple features based on compressive sensing[J]. Optics and Precision Engineering, 2013, 21(2): 437-444.

[13] Mao Zheng, Yuan Jian jian, Wu Zhen rong, et al.. Real-time compressive tracking based on online feature selection[J]. Optics and Precision Engineering, 2014, 22(3): 730-736.

[14] Yank Sa, Yang Chunling. Image registration algorithm based on sparse random projection and scale-invariant feature transform[J]. Acta Optica Sinica, 2014, 34(11): 1110001.

[15] Ozuysal M, Calonder M, Lepetit V, et al.. Fast keypoint recognition using random ferns[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2010, 32(3): 448-461.

[16] Guo Pengyu, Su Ang, Zhang Hongliang, et al.. Online mixture of random naive Bayes tracker combined texture with shape feature[J]. Acta Optica Sinica, 2015, 35(3): 0315002.

CLP Journals