文章基本信息

标题：Histogram-based Detection of Moving Objects for Tracker Initialization in Surveillance Video
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作者：Peter Dunne ; Bogdan J. Matuszewski
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2011
卷号：4
期号：3
出版社：SERSC
摘要：We present an approach to localized object detection that is not dependent upon background image construction or object modeling. It is designed to work through camera embedded software using spare processing capacity in a visual signal processor. It uses a localized temporal difference change detector and a particle filter type likelihood to detect possible trackable objects, and to find a point within a detected object at which a particle filter tracker might be initialized
关键词：object modelling; particle filter; tracker initialization