Automatic Camshift tracking algorithm based on fuzzy inference background difference combining with twice searching
In order to overcome the shortcoming that traditional Camshift needs artificial orientation during tracking, this paper proposes a new approach of Camshift tracking algorithm based on fuzzy inference background difference. In this paper, the object contour extracted by background difference rather than artificial selection, is used as initial search window so as to realize automatic Camshift tracking. Meanwhile, to avoid object divergence and object losing when the object moves too quickly, twice Camshift searching is combined with background difference to enlarge the search window automatically to ensure consistent targeting. Furthermore, this paper also introduces contour marking and multiple Camshift trackers to implement successful multiobject tracking. Methods mentioned above prove themselves efficient and automatic in tracking one or more moving fishes during the experiments.
Xiao Gang Chen Yong Chen Jiu-jun Gao fei
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310032, China
国际会议
深圳
英文
1-4
2010-04-17（万方平台首次上网日期，不代表论文的发表时间）