[1] [1] WU YI，LIM Jongwoo，YANG Ming-Hsuan. Online object tracking：A benchmark [C]// Proceedings of IEEE Conference onComputer Vision and Pattern Recognition(CVPR)，Portland，USA，June 23-28，2013：2411–2418.

[2] [2] Doucet A，de Freitas N，Gordon N. Sequential Monte Carlo Methods In Practice [M]. New York，Springe，2001.

[3] [3] Bradski G R. Real time face and object tracking as a component of a perceptual user interface [C]// Workshop on Applicationsof Computer Vision，Princeton，USA，Oct 19-21，1998：214-219.

[4] [4] YANG Fan，LU Huchuan，YANG Ming-Hsuan. Robust superpixel tracking [J]. IEEE Transactions on Image Processing(S1057-7149)，2014，23(4)：1639-1651.

[5] [5] HOANG Vandung，Le Myha，Jo Kanghyun. Hybrid cascade boosting machine using variant scale blocks based HOG featuresfor pedestrian detection [J]. Neurocomputing(S0925-2312)，2014，135(8)：357-366.

[6] [6] HOU Yue en，LI Weiguang，RONG Aiqiong，et al. Tracking Algorithm of Block Sparse Representation with BackgroundInformation [J]. Journal of South China University of Technology(Natural Science Edition)，2013，41(8)：21-27.

[7] [7] JIA Xu，LU Huchuan，YANG Minghsuan. Visual tracking via adaptive structural local sparse appearance model [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR)，USA，June 16-21，2012：1822–1829.

[8] [8] MEI Xue，LING Haibin. Robust visual tracking using l1 minimization [C]// IEEE International Conference on ComputerVision (ICCV)，Kyoto，Japan，Sept. 29-Oct. 2，2009：1436–1443.

[9] [9] BAO Chenglong，WU Yi，LING Haibin，et al. Real time robust L1 tracker using accelerated proximal gradient approach [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR)，USA，June 16-21，2012：1830–1837.

[10] [10] WANG Dong，LU Huchuan，YANG Ming-Hsuan. Least soft-threshold squares tracking [C]// Proceedings of IEEE Conferenceon Computer Vision and Pattern Recognition(CVPR)，Portland，USA，June 23-28，2013：2371-2378.

[11] [11] Freund Yoav，Schapire Robert E. A desicion-theoretic generalization of on-line learning and an application to boosting [M]Computational Learning Theory：Springer Berlin Heidelberg，1995：23-37.

[12] [12] LIM Jongwoo，ROSS David，LIN Ruci-Sung，et al. Incremental learning for robust visual tracking [J]. International Journalof Computer Vision(S0920-5691)，2008，77(1)：125–141.

[13] [13] ZHANG Kaihua，ZHANG Lei，YANG Ming-Hsuan. Real-time object tracking via online discriminative feature selection [J].IEEE Transactions on Image Processing(S1057-7149)，2013，22(12)：4664-4677.

[14] [14] WebLink. SPAMS: http://www.di.ens.fr/willow/ SPAMS/downloads.html, 2015, October.