关键词: 混合高斯模型, 背景减除法, 目标检测, 误检测点

Abstract: This paper makes improvements on moving target detection method which is based on mixture Gaussian model, specifically in two areas：the use of adaptive matching threshold solves the problem of misdetection of moving targets caused by noise or illumination change; and in terms of model learning, it uses different learning rate to detect static background areas, improving the adaptiveness of model. Compared to the moving targets detection approach based on conventional mixture Gaussian model, the improved methods have significantly solved the problems of misdetection of moving object, and the adaptiveness of model.

Key words: Mixture Gaussian Model（GMM）, background subtraction, object detection, false detection