文章基本信息

标题：Moving Object Detection Using Graph’s Axis Change Method
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作者：Gagandeep Kaur ; Sumeet Kaur
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：2
页码：701-704
出版社：Technopark Publications
摘要：The detection and identify moving objects in a video sequence is very important concept. The currently available techniques for motion estimation can be broadly categorized into main classes: block matching methods and optical flow methods. But here detection of moving objects is detected by using Graph’s axis change method. Here we convert the image in to pixels and then calculate the values when the pixel change its position according to x axis and y axis. There is no problem of fixed and movable background. This paper investigates the different motion estimation algorithms used for video processing applications. Among the available motion estimation methods, the Lucas kanade Algorithm using changed axis’s method has been used in this paper for detection of moving objects in a video sequence. The algorithm produces the result of Horizontal and Vertical components velocity, u and v respectively. This velocity is measured in the form of vectors and has been used to segment the moving objects from the video sequence. The algorithm has been applied to different sets of synthetic and real video sequence.
关键词：Motion detection; Graph’s axis change method; optical flow; background subtraction