Recognition and Tracking of Hovering Object
The existing methods of monitoring may easily cause fatigue of monitor staff, just to obtain evidence for the most part. This paper provides a method of bovering behavior recognition and tracking, which can reduce workload and prevent something happen in advance. In order to realize the purpose, we utilize a video analysis technique including many automatic tracking algorithms, but these algorithms can not analyze the behavior of objects and have some defects. Therefore, we put forward the argument of hovering behavior recognition, and combine background subtraction with Camshift to realize tracing. The background subtraction detects object and approaches object contour with a rectangle which is also an objects tracking box. Furthermore, Camshift algorithm is used to make up the shortage of the background subtraction method. The result of experiment shows that this method can meet the basic requirements of hovering tracking.
hovering behavior camshift object tracking background subtracion
Zhang Qigui Liu Xiaoming
College of Information Engineering Taiyuan University of Technology Taiyuan, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
680-683
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）