关键词: 自适应背景模型, 信息检测窗, 运动目标分割, 彩色信息

Abstract:

Based on the characters of static scenes and block processing techniques, a video segmentation algorithm based on color information and sampling detection was proposed. In the algorithm, every frame was divided into many small regular blocks(Information Detecting Window,IDW) and showed by matrix. According to the detecting results with sampling IDWs, the algorithm quickly rebuild background model and segment moving object with the RGB color and grey scale information. It is shown that the algorithm combines the advantages of less runtime,stronger adaptability and accuracy with comparison to other background subtraction algorithms.

Key words: adaptive background model, information detection window, moving object segmentation, color information