文献类型：会议论文

英文题名：A video target detection algorithm based on pixels texture correlation background model

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

第一作者：傅继彬

通讯作者：Fu, J.

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：Proceedings - 2011 3rd Chinese Conference on Intelligent Visual Surveillance, IVS 2011

会议日期：December 1, 2011 - December 2, 2011

会议地点：Beijing, China

语种：英文

外文关键词：Signal detection - Statistical tests - Target tracking - Textures

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. ? 2011 IEEE.