A MOVING OBJECTS DETECTION APPROACH FOR SMART SENSOR
Background subtraction is a commonly used approach for moving objects detection. The modeling and updating of background, the effect of background disturb, illumination changes and shadows are the problems that must be considered in background subtraction method. This paper presents a novel moving object detection approach, which addresses all the problems presented above effectively. A statistical method is used to obtain the background model,which is updated real time in order to adapt to illumination changes and scene changes. After threshold operation,morphologic operation and connected region area measurement are introduced to solve background disturb problem. At last, shadows are detected using HSV color space information. Experimental results show that presented method is fast and effective.
Moving objects detection Background subtraction Background modeling and updating Shadows detection
HONG-WEN LIN SHAO-QING YANG ZHI-JUN XIA CHUN-YU KANG
Department of Information and Communication Engineering, Dalian Naval Academy, Dalian 116018, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
3751-3754
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）