关键词: 背景差分, 闭合轮廓拟合, 运动人体检测, 视频分析

Abstract: A human detection method in video sequence based on background subtraction and closed contour fitting has been proposed if the background image has been acquired. Firstly, after having the background image, seek for the maximal connected domain of the original foreground objects; secondly, extract contour of the original foreground object through weighted gauss filters; finally, fit the closed contour of the original objects and extract them, a method of 2 bit area chosen has been proposed in order to seek for end points of one segment of a curve, then according to the criterion of the minimum distance between class structure closed contour, extract final foreground objects by using frame difference algorithm, and label the locations of the objects. The experimental results show that human detection algorithm in this paper can extract objects accurately and efficiently.

Key words: background subtraction, closed contour fitting, human detection, video analysis