Abstract: Realization of robust and real-time object division is a crux of video monitor system. Aiming at the situation that the pixel gray of background image changes continually in monitor environment with continually changing lighting conditions, this paper presents a background updating algorithm which is self-adaptive to changes in illumination. The moving object is ascertained by using inter-frame difference and background difference. Experimental results demonstrate that this algorithm is quick and robust, and can be applied in monitor equipment in outdoor and indoor environments.

Key words: detection for moving object, difference image, background updating

摘要： 实现鲁棒且实时的目标分割是视频监控系统的关键。针对照明条件连续变化的监控环境中背景图像像素灰度不断变化的情况，提出一种能自适应光线变化的背景更新算法，利用帧间差分和背景差分共同确定运动目标。实验结果证明该算法运算量小、鲁棒性好，适用于室内或室外的监控设备。

关键词: 运动目标检测, 差分图像, 背景更新

CLC Number: 

• TN941.1