Optimal Foreground Detection Methods For Pixel Domain Video Objects

This Book discusses different approaches for extracting or detecting the foreground video objects in a pixel domain. To tackle with the problems related with existing approaches this book gives a solution by applying the following methods sequentially thereby to improve the efficiency. First, extraction of superpixel from a video frame to reduce the number of comparisons. Second, applying the background subtraction algorithm (Gaussian background Modeling) and optical flow on those superpixels extracted from each frame of the video. This is done to detect the edges of objects in the video clearly and finally by using the SMED (Separable Morphological Edge Detector) the foreground object is segmented from background scene accurately

Autorentext

Dr.K.Suganya Devi is an Asst Prof and Head (i/c) in the Department of Computer Science and Engg, University College of Engg,Panruti,India. She has 6 years of Research experience in Multimedia & Image Processing. She secured Gold Medal for her academic excellence in her M.E Degree. She has to her credit 15 Intl Publications & 14 Conference Papers