Research on Stationary Object Detection Technique based on Dual-Background
In this paper, a novel approach for detecting and analyzing stationary objects driven visual events in video surveillance systems is proposed. In recent years, video surveillance systems have become an extremely active research area due to a sharp increasing in the levels of terrorist attacks on crowded public places and left behind object detection is indispensable in public places such as airport security system. A new stationary object detection algorithm is proposed in this paper to save this problem. Firstly, this method uses the Dual- Background subtraction to get the foreground image based on the approximated median filtering using the adaptive threshold method. Secondly, after detecting the stationary object, through morphology processing, the algorithm can accurately detect the stationary object, such as box, bag and so forth. Experimental results show that the proposed algorithm is robust and precise.
component stationary object detection adaptive threshold approximated median filtering background subtraction
QUAN Wei ZHANG Yuqiang GE Wei LI Hailan
School of Computer Science and Technology Changchun University of Science and Technology Changchun, School of Electronics and Information Engineering Changchun University of Science and Technology Cha
国际会议
秦皇岛
英文
1783-1786
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）