文章基本信息

标题：An Effective Method for Detection of Moving Objects From Video
本地全文：下载
作者：M. Nagaraju ; M. Bala Tripura Sundary ; B. Rakeshchandra 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：330-334
语种：English
出版社：Ayushmaan Technologies
摘要：Moving object detection is a low-level, important task for any visual surveillance system. One of the aim of this paper is 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, our new method tries to overcome superfluous effect as well as reduces the computational complexity up to some extent. We developed a robust algorithm for automatic, noise detection and removal from moving objects in video sequences is presented. This algorithm considers static camera parameters.
关键词：Moving Object Detection;Noise Detection and Removal; Statistical Mean Technique;Background Subtraction;Temporal Difference