关键词: 视频检测, 熵能, 自适应阈值, 背景更新

Abstract: This paper proposes an object detection algorithm combined with regional-level and pixel-level background subtraction method.It can effectively resolve the problem of uneven distribution of noise in video sequence.A self-adaptive local threshold based on entropy power is used to classify foreground and background.On this basis，pixels in the region adjacent to the foreground and background are detected.This paper also proposes a background updating algorithm which is self-adaptive to changes of illumination.Experimental results demonstrate that the integrity of object detection and noise immunity are better than traditional single threshold background subtraction by using this method，and this algorithm can accurately detect moving targets.

Key words: video detection, entropy power, self-adaptive threshold, background updating