Title :
Background Subtraction Enhancement using Segmentation
Author_Institution :
Comput. Studies, Coll. of Notre Dame of Maryland, Baltimore, MD
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;
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
DOI :
10.1109/SNPD.2008.162
