Wang Zhao-wen, Yang Xiao-kang, Xu Yi, et al . CamShift guided particle filter for visual tracking[J]. Pattern Recognition Letters (S0167-8655),2009,30(4):407-413.
[3]
高秀斌,丁盼盼,蒋长帅,等. 一种基于多特征融合的粒子滤波目标跟踪算法[J]. 扬州大学学报:自然科学版, 2013,16(1): 57-60.Gao Xiu-bin, Ding Pan-pan, Jiang Chang-shuai, et al. A particle filter algorithm for objects tracking based on multi-feature fusion[J]. Journal of Yangzhou University(Natural Science Edition), 2013,16(1): 57-60.
[4]
Kwok C, Fox D, Meil A M. Adaptive real-time particle filters for robot localization[C]∥IEEE International Conference on Robotics and Automation. USA: IEEE Press, 2003: 2836-2841.
[5]
Bolic M, Djuric P M, Hong S. Resampling algorithms for particle filters: a computational complexity perspective[J]. Eurasip Journal on Applied Signal Processing (S1687-0433), 2004, 15(15): 2267-2277.
[6]
Bolic M, Djuric P M, Hong S. Resampling algorithms and architectures for distributed particle filter[J]. IEEE Transaction on Signal Processing (S1053-587X), 2005, 53(7): 2442-2450.
[7]
胡士强,敬忠良. 粒子滤波原理及其应用[M]. 北京:科学出版社,2010:21-23.
[8]
刘士荣, 朱伟涛,杨帆,等. 基于多特征融合的粒子滤波目标跟踪算法[J]. 信息与控制, 2012,41(6):752-759.Liu Shi-rong, Zhu Wei-tao, Yang Fan,et al. Multi-feature fusion based particle filter algorithm for object tracking[J]. Information and Control,2012, 41(6):752-759.
[9]
Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking[J]. IEEE Trans on Pattern Analysis and Machine Intelligence (S0162-8828), 2003, 25(5): 564-577.
[10]
Katja N, Esther K M. Object tracking with an adaptive color-based particle filter[C]∥Proceedings of the 24th DAGM Symposium on Pattern Recognition, Zurich,2002: 353-360.
