loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Background Subtraction Enhancement using Segmentation
August 06-August 08
ISBN: 978-0-7695-3263-9
ASCII Text
x 
 
Kyongil Yoon, "Background Subtraction Enhancement using Segmentation," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, pp. 535-540, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008.
 
 
BibTex
x
 
@article{ 10.1109/SNPD.2008.162,
author = {Kyongil Yoon},
title = {Background Subtraction Enhancement using Segmentation},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3263-9},
pages = {535-540},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2008.162},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Background Subtraction Enhancement using Segmentation
SN - 978-0-7695-3263-9
SP535
EP540
A1 - Kyongil Yoon,
PY - 2008
KW - null
VL - 0
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
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
Citation:
Kyongil Yoon, "Background Subtraction Enhancement using Segmentation," snpd, pp.535-540, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2008
Usage of this product signifies your acceptance of the Terms of Use.