计算机应用研究2011，Vol.28Issue(10)：3963-3966,4.DOI:10.3969/j.issn.1001-3695.2011.10.100
基于均值漂移—连通域标记的多目标跟踪算法
Multi-objective tracking method based on Mean Shift——connected component labeling
摘要
Abstract
This paper proposed an improved Mean Shift based algorithm and a connected components labeling algorithm for multi-target tracking, which had a good performance in the process of multi-target tracking to deal with the situations as target instant loss,target occlusion and target tracking failure during the overlapping. When the target was missing in the tracking,this improved tracking algorithm-Mean Shift could be self-adapted to adjust the size and direction of search window. What' s more, through the self-adaptive extended search window, it made use of connected components labeling algorithm to search target and calculate its moment character as to acquire the tracking target focus and size,and the getting target focus and size will be the tracking initial coordinate and size of Mean Shift in the next frame. Calculated the color histogram of the object region and put the histogram as the object model. That could solve problems as target loss resulted from the over-speed target moving. The final results elicit that this kind of improved target tracking algorithm can be efficient in ameliorating the function of multi-target tracking and realizing target' s continuing tracking.关键词
均值漂移/多目标跟踪/连通域标记/矩特征/特征匹配Key words
Mean Shift/ multi-target tracking/ connected component label/ torque/ characters match分类
信息技术与安全科学引用本文复制引用
鲁好波,李坚强,王小民..基于均值漂移—连通域标记的多目标跟踪算法[J].计算机应用研究,2011,28(10):3963-3966,4.基金项目
国家自然科学基金资助项目(61001185) （61001185）
