文章基本信息

标题：A Robust Method for Moving Object Detection Using Modified Statistical Mean Method
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作者：Safvan Vahora ; Narendra Chauhan ; Nilesh Prajapati 等
期刊名称：International Journal of Advanced Information Technology
印刷版ISSN：2231-1920
电子版ISSN：2231-1548
出版年度：2012
卷号：2
期号：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Moving object detection is low-level, important task for any visual surveillance system. One of the aim of this paper is to, to describe various approaches of moving object detection such as background subtraction, temporal difference, as well as pros and cons of these techniques. A statistical mean technique [10] has been used to overcome the problem in previous techniques. Even statistical mean method also suffers with the problem of superfluous effects of foreground objects. In this paper, the presented method tries to overcome this effect as well as reduces the computational complexity up to some extent. In this paper, a robust algorithm for automatic, noise detection and removal from moving objects in video sequences is presented. The algorithm considers static camera parameters
关键词：Moving object detection; Noise detection and removal; Statistical mean technique