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Optimal Foreground Detection Methods For Pixel Domain Video Objects

Optimal Foreground Detection Methods For Pixel Domain Video Objects

Paperback (31 Mar 2015)

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Publisher's Synopsis

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

About the Publisher

LAP Lambert Academic Publishing

Since Lambert Academic Publishing's foundation, thousands of top researchers and renowned scientists have embraced its unprecedented approach to free publishing, thereby making it a leader in the book publishing industry today. Research projects, dissertations, diploma theses, master theses and doctoral theses are given unparalleled visibility and global readership. Our catalogue consists of over 40,000 dissertations and theses, which are produced in the form of high-quality paperbacks in the USA, UK and Germany and distributed through an extensive network of major retailers.

Book information

ISBN: 9783659690198
Publisher: KS Omniscriptum Publishing
Imprint: LAP Lambert Academic Publishing
Pub date:
Language: English
Number of pages: 180
Weight: 272g
Height: 229mm
Width: 152mm
Spine width: 10mm