期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2015
卷号：4
期号：Special 3
出版社：IJECSCSE
摘要：Conventional video surveillance systems often have several shortcomings. First, target detection can't be accurate under the light v ariation environment. Second, multiple target tracking becomes difficult on a crowd scene. Third, it is difficult to partition the tracked targets from a merged image blob. Finally, the tracking efficiency and precision are reduced by the inaccurate foregr ound detection. In this paper, the fusion of temporal and texture background model, multi - mode tracking scheme are proposed to improve the above mentioned problems. In addition, a people counting scheme is proposed based on the multi - mode multi - target trac king method on a crowd scene
