微型电脑应用2012，Vol.28Issue(8)：1-3,3.
一种改进的混合高斯背景模型
An Improved Gaussian Mixture Model for Background Estimation
摘要
Abstract
Traditional Adaptive Gaussian Mixture Model will lose target when deal with arbitrary-long stationary object. In this paper,a novel method for detecting this kind of object is proposed to improve the performance of Adaptive Gaussian Mixture Model. Parameter restoration is designed to deal with arbitrary-long stationary target and solve the short-comings of the latest algorithm. Experimental results show that the proposed algorithm proves to be a more robust method by detecting the stationary target in an arbitrary-long time.关键词
背景模型/混合高斯模型/目标检测Key words
Background Model/Mixture Gaussian Model/Object Detection分类
信息技术与安全科学引用本文复制引用
王宸昊,厉鹏,刘允才..一种改进的混合高斯背景模型[J].微型电脑应用,2012,28(8):1-3,3.基金项目
获国家自然科学基金(60833009,60975012)资助. （60833009,60975012）
