关键词: 运动目标检测, 能量法, 粗背景模型, 背景图像差分法

Abstract: With the large computation quantity， long computing time and low real-time performance， the optical flow is not fit for the complex surroundings. The background image difference is only fit for the still background and no reasonable approach has been designed and implemented for automatic background updating along with the background variance. To solve the above problems， a self-adaptive background updating algorithm of energy method （SBUE） is proposed. In the complicated background， this algorithm is mainly applied to the moving object detection， which can modify or update the coarse background model （CBM） in real time. Moreover， combining the background image difference and energy similarity of moving objects， this algorithm can extract the moving objects completely and its application is universal. Experimental results demonstrate that the proposed self-adaptive background updating algorithm of energy method （SBUE） can update the variation background exactly and quickly and improve the recognition accuracy of the moving objects.

Key words: moving object detection, energy method, coarse background model（CBM）, background image difference