Abstract: Most existing algorithms analyze pixels separately, lead to misjudge in process slow-moving object and reciprocating-moving object. According to this, one new method is presented. This method evaluates the credibility of every pixel values as background by analyze the stability, appear frequency and spatial relations of one pixel value. Compare to existing algorithms, this algorithm not only adapt to environment changes and background disruption but also adapt to slow-moving object and reciprocating-moving object.

Key words: background modeling, video surveillance, reliability evaluation, spatial relations, image segmentation

摘要： 传统算法在背景建模过程中孤立地对像素进行分析，在处理缓慢移动物体和往复运动物体时常常发生误判。针对这一情况，提出一种新的背景建模方法。该方法通过对像素值稳定性、像素值出现频率以及像素间的空间联系统计分析，评估出每一像素值作为背景的可信程度，进而得出背景。对比已有的背景建模算法，该方法在分析过程中考虑了物体的整体属性，在适应环境的变化与背景扰动的同时，能明显减少现有算法对缓慢移动物体和往复运动物体的误判。

关键词: 背景建模, 视频监控, 可信度评估, 空间联系, 图像分割