关键词: 背景减除, 背景建模, 随机更新, 竞争合作

Abstract: This paper presents a model update method for change detection which can adapt strongly in complex background. Random update is used for preliminary model update, since samples are memoryless. It competitively looks for the substituted pixels in the neighborhood of adapted background model. The assignment of weighted values behaves as a cooperative way between current frame pixels. Efficiency figures show that the proposed algorithm is feasible and accurate for complex background. The results of five kinds of image sequences with complex background prove excellent methods in terms of comprehensive detection rate.

Key words: background subtraction, background modeling, random update, competition and cooperation