Acquiring and Analyzing Movement Detection through Image Granulation

Abstract

Detection of moving object is a challenging task for any video surveillance. Generally, a video surveillance consists of three levels of processing – moving object extraction, recognition and tracking – that further process for decision of the corresponding activities. As pre- and post-processing of the video might be necessary to improve the detection of moving objects, we have proposed a method that uses the coordinates of the boundary of an object with a thick white line. This paper basically shows the results through which we specify the initial search condition, the connectivity and how many pixels should be returned and the direction in which to perform the search. Further traces the exterior boundaries of objects.