[1] [1] Comaniciu D, Ramesh V, Meer P. Real-time tracking of non-rigid objects using mean shift [C]// Computer Vision and Pattern Recognition, Hilton Head, SC, USA, June, 2000: 142-149.

[2] [2] Katja N, Esther K M, Luc V G. An adaptive color-based filter [J]. Image and Vision Computing(S0262-8856), 2003, 21(1): 99-110.

[3] [3] Maggio E, Cavallaro A. Hybrid particle filter and mean shift tracker with adaptive transition model [C]// IEEE International Conference on Acoustics, Speech, and Signal Processing, March 18-23, 2005, II-221-224.

[4] [4] WANG Zhao-wen, YANG Xiao-kang, XU Yi, et al. Camshift guided particle filter for visual tracking [J]. IEEE Workshop on Signal Processing Systems(S1520-6130), 2007, 1: 301-306.

[5] [5] SUN Hong-guang, ZHANG Jin, LIU Yan-tao, et al. Optimized Particle Filter Tracking by CamShift Based on Multi-feature [J]. Opto-Electronic Engineering, 2010, 37(2): 1-6.

[6] [6] Perez P, Vermaak J, Blake A. Data fusion for visual tracking with particles [J]. Proceedings of the IEEE(S0018-9219), 2004, 92(3): 495-513.

[7] [7] Ido L, Michael L, Ehud R. Tracking by Affine Kernel Transformations Using Color and Boundary Cues [J]. IEEE Trans. on PAMI(S0162-8828), 2009, 31(1): 164-171.

[8] [8] WANG Yong-zhong, LIANG Yan, ZHAO Chun-hui, et al. Kernel-based Tracking Based on Adaptive Fusion of Multiple Cues [J]. Acta Automatica Sinica, 2008, 34(4): 393-399.

[9] [9] Matthews I, Ishikawa T, Baker S. The template update problem [J]. IEEE Trans. on PAMI(S0162-8828), 2004, 26(6): 810-815.

[10] [10] Ojala T, Pietikainen M, Maenpaa T. Multiresolution grayscale and rotation invariant texture classification with local binary patterns [J]. IEEE Trans. on PAMI(S0162-8828), 2002, 24(7): 971-987.

[11] [11] VS-PETS. [EB/OL] http://vspets-db.html, 2003.