文献类型：会议论文

中文题名：A Video Target Detection Algorithm Based on Pixels Texture Correlation Background Model

作者：Jibin Fu[1];Xin Bai[1];Baode Ju[1];

第一作者：傅继彬

机构：[1]School Of Computer And Information Engineering,Henan University Of Economics And Law,ZhengZhou,China;

第一机构：河南财经政法大学计算机与信息工程学院

会议论文集：第三届全国智能视觉监控学术会议论文集

会议日期：20111201

会议地点：北京

主办单位：中国人工智能学会;中国图象图形学学会

语种：英文

中文关键词：Pixels Texture Correlation;Target Detection;Background Model

摘要：This paper describes a screen target detection algorithm which is based on the background of Pixel texture information to judge models.The model is based on Bayesian statistical model frame,using histogram to get background reference,and lead in texture information of pixels to determine the results of the test optimization.It can quickly and accurately generate reference background,accumulating less noise during the period of updating background,and keeping longtime stability.Experimental results show that compared with the Bayesian statistical model,the screen target detection algorithm which is based on the background of Pixel texture information to judge models has greatly improved in accuracy and reduced in error rate.