DocumentCode
475841
Title
Background Subtraction Enhancement using Segmentation
Author
Yoon, Kyongil
Author_Institution
Comput. Studies, Coll. of Notre Dame of Maryland, Baltimore, MD
fYear
2008
fDate
6-8 Aug. 2008
Firstpage
535
Lastpage
540
Abstract
The capability of extracting moving objects from a video sequence captured using a static camera is a typical first step in visual surveillance. This procedure is called a background subtraction (BGS), and it uses the temporal distribution of pixel values over the sequence of frames. Pixel based BGS can be improved by considering the spatial coherence around each pixel, and in this paper we present a method to enhance existing BGS methods using spatial information from image segmentation.
Keywords
feature extraction; image enhancement; image resolution; image segmentation; image sequences; surveillance; video signal processing; background subtraction enhancement; image segmentation; pixel value temporal distribution; video sequence; visual surveillance; Artificial intelligence; Brightness; Clustering algorithms; Computer networks; Concurrent computing; Distributed computing; Image segmentation; Kernel; Pixel; Software engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008. SNPD '08. Ninth ACIS International Conference on
Conference_Location
Phuket
Print_ISBN
978-0-7695-3263-9
Type
conf
DOI
10.1109/SNPD.2008.162
Filename
4617428
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