文章基本信息

标题：Moving Object Detection Based on Improved ViBe Algorithm
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作者：Gu Bo ; Song Kefeng ; Qiu Daoyin 等
期刊名称：International Journal of Smart Home
印刷版ISSN：1975-4094
出版年度：2015
卷号：9
期号：12
页码：225-232
DOI：10.14257/ijsh.2015.9.12.23
出版社：SERSC
摘要：In this paper, an improved ViBe background subtraction algorithm is proposed for dealing with ghost problem during the process of moving object detection. The ghost areas in image can be detected based on the theory that the histogram distributions of ghost areas have similarity distribution characteristics. However, the histogram distributions of real moving objects change with the real objects moving. The influence of ghost areas on moving object detection is eliminated. The improved ViBe, the original ViBe and the Gauss mixture model are compared and analyzed, The results show that the improved ViBe can effectively eliminate ghost areas, and has high real-time.
关键词：moving object detecting; histogram similarity measure; ViBe; Gauss ; mixture model