1. Review paper on moving object detection using angle change method
Authors : Neha Garg, Preeti
Pages : 10-12
DOI : http://dx.doi.org/10.21172/1.92.03
Keywords : Motion detection, Angle Change Method, optical flow, background subtraction Abstract :The detection and identify moving objects in a video sequence is very necessary 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 Angle 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 various motion estimation algorithms utilized for video processing applications. Among the available motion estimation methods, the Lucas kanade Algorithm using changed angle change method has been utilized 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 utilized to segment the moving objects from the video sequence. The algorithm has been applied to various sets of synthetic and real video sequence.
Citing this Journal Article :Neha Garg, Preeti, "Review paper on moving object detection using angle change method", Volume 9 Issue 2 - November 2017, 10-12
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