关键词: 背景建模, 背景差分, 去除阴影, 背景更新, 特征提取

Abstract: This paper proposes an algorithm of moving objects detection in natural environment. The algorithm is based on spatial-temporal information fusion and feature recognition, including background analysis, foreground extraction, shadow removal and background updating. By analyzing the change rules of pixel parameters in HSV color model within a time period and referring to the determination formulas, it can determine whether the pixel belongs to the background, the moving objects or the shadow. The algorithm can not only eliminate the impact of natural conditions, like wind, sunlight and lightning, but also automatically update the background when the illumination changes suddenly, or moving objects stop moving, or the objects in the background turn to move. So the algorithm is suitable for moving objects detection in natural environment.

Key words: background modeling, background subtraction, shadow removal, background updating, feature extraction