Eight-Neighborhood Based Background Modeling

摘要：

　　In order to solve the Gaussian kernel density-based background modeling,we propose a background modeling method based on an 8-neighborhood pixels sample set.In this method,we use the target pixel and its surrounding 8-neighborhood pixels to analyze whether it is included in the background or in the foreground sample space.Experimental results show that the method can judge the object as the background interference caused by the cyclical movement.By practical verification,the algorithm of the background modeling can full meet the requirements of the target detection algorithm.

关键词： background modeling Gaussian kernel density background subtraction moving target detection

作者: Lu Yan Dai Ming Jiang Lei

作者单位: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academyof Sciences,Changchun 1300 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academyof Sciences,Changchun 1300

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 743-747

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）