Wang Yong, Chen Fen-Xiong, Guo Hong-Xiang. Kernel spatial histogram target tracking based on template drift correction. Acta Automatica Sinica, 2012, 38(3): 430-436(王勇, 陈分雄, 郭红想. 偏移校正的核空间直方图目标跟踪. 自动化学报, 2012, 38(3): 430-436)
[2]
Li Pei-Hua. An improved mean shift algorithm for object tracking. Acta Automatica Sinica, 2007, 33(4): 347-354(李培华. 一种改进的Mean Shift 跟踪算法. 自动化学报, 2007,33(4): 347-354)
[3]
Arulampalam M S, Maskell S, Gordon N, Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian bayesian tracking. IEEE Transactions on Signal Processing, 2002, 50(2): 174-188
[4]
Collins R T, Liu Y X, Leordeanu M. Online selection of discriminative tracking features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1631-1643
[5]
Wang L F, Pan C H, Xiang S M. Mean-shift tracking algorithm with weight fusion strategy. In: Proceedings of the 18th International Conference on Image. Brussels, Belgium: IEEE, 2011. 473-476
[6]
Grabner H, Leistner C, Bischof H. Semi-supervised on-line boosting for robust tracking. In: Proceedings of the 10th European Conference on Computer Vision. Berlin, Heidelberg: Springer-Verlag, 2008. 243-247
[7]
Babenko B, Yang M H, Belongie S. Robust object tracking with online multiple instance learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1619-1632
[8]
Page L, Brin S, Motwani R, Winograd T. The PageRank Citation Ranking: Bringing Order to the Web, Technical Report, Stanford Digital Library Technologies Project, USA, 1999
[9]
Qian Hui-Min, Mao Yao-Bin, Wang Zhi-Quan. Mean shift tracking with self-updating tracking window. Journal of Image and Graphics, 2007, 12(2): 245-249(钱惠敏, 茅耀斌, 王执铨. 自动选择跟踪窗尺度的Mean-Shift算法. 中国图象图形学报, 2007, 12(2): 245-249)
[10]
Lu Da-Jin. Stochastic Processes and Their Applications. Beijing: Tsinghua University Press, 1986(陆大琻. 随机过程及其应用. 北京: 清华大学出版社, 1986)
[11]
Hou Zhi-Qiang, Han Chong-Zhao. A survey of visual tracking. Acta Automatica Sinica, 2006, 32(4): 603-617(侯志强, 韩崇昭. 视觉跟踪技术综述. 自动化学报, 2006, 32(4): 603-617)
[12]
Yilmaz A, Javed O, Shah M. Object tracking: a survey. ACM Computing Surveys, 2006, 38(4): 1-45
[13]
Kim I S, Choi H S, Yi K M, Choi J Y, Kong S G. Intelligent visual surveillance——a survey. International Journal of Control, Automation, and Systems, 2010, 8(5): 926-939
[14]
Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564-577
[15]
Isard M, Blake A. Condensation-conditional density propagation for visual tracking. International Journal of Computer Vision, 1998, 29(1): 5-28
[16]
Ning J, Zhang L, Zhang D, Wu C. Robust mean shift tracking with corrected background-weighted histogram. IET Computer Vision, 2012, 6(1): 62-69
[17]
Grabner H, Grabner M, Bischof H. Real-time tracking via on-line boosting. In: Proceedings of the 17th British Machine Vision Conference. Guildford: BMVA Press, 2006. 47-56
[18]
Bradski G R. Real time face and object tracking as a component of a perceptual user interface. In: Proceedings of the 4th Workshop on Applications of Computer Vision. Princeton, USA: IEEE, 1998. 214-219
[19]
Tola E, Lepetit V, Fua P. DAISY: an efficient dense descriptor applied to wide-baseline stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(5): 815-830