计算机工程2011，Vol.37Issue(4)：201-202,2.DOI:10.3969/j.issn.1000-3428.2011.04.072
改进的Online EM背景减除算法
Improved Online EM Algorithm for Background Subtraction
摘要
Abstract
With the challenge of extracting moving foreground objects from dynamic background, this paper introduces an improved background subtraction algorithm based on Gaussian Mixture Model(GMM) by using Dirichlet conjuagate prior and Online EM in Bayes framework, it avoids converging to a local maximum of the log-likelihood function, selects the numbers of Gaussian adaptively and outperforms the panorama.Experimental results demonstrate that the improved algorithm can increase the detection rate for foreground effectively.关键词
背景减除/Dirichlet共轭先验/在线最大似然估计/贝叶斯理论/高斯混合模型/全景图Key words
background subtraction/ Dirichlet conjuagate prior/ Online EM/ Bayes theory/ Gaussian Mixture Model(GMM)/ panorama分类
信息技术与安全科学引用本文复制引用
王炜,钱徽,陈鹏,金卓军..改进的Online EM背景减除算法[J].计算机工程,2011,37(4):201-202,2.基金项目
国家自然科学基金资助重点项目(90820306) （90820306）
浙江省科技重大攻关计划基金资助项目(2006c13096) （2006c13096）
