DocumentCode
178239
Title
Background Subtraction Algorithms with Post-processing: A Review
Author
Setitra, I. ; Larabi, S.
Author_Institution
Res. Center on Sci. & Tech. Inf. Cerist, Univ. of Sci. & Technol. USTHB, Algiers, Algeria
fYear
2014
fDate
24-28 Aug. 2014
Firstpage
2436
Lastpage
2441
Abstract
Due to its several algorithms with their fast implementations, background subtraction becomes a very important step in many computer vision and video surveillance systems which assume static cameras. Literature counts a large number of robust background subtraction algorithms which try each to outperform the others in a quantitative and qualitative manner. This competition can sometimes confuse the user of this kind of process and make the choice of one of them difficult. To overcome this issue we review, in what follows, the background subtraction process by defining it and exploring most used algorithms of background subtraction. We then expose some post processing techniques used to remove superfluous content derived from background subtraction.
Keywords
computer vision; video surveillance; background subtraction algorithms; computer vision; post-processing; qualitative manner; quantitative manner; static cameras; video surveillance systems; Computational modeling; Estimation; History; Image color analysis; Kernel; Lighting; Streaming media; background modeling; bakcground subtraction; post processing; state of the art; video analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location
Stockholm
ISSN
1051-4651
Type
conf
DOI
10.1109/ICPR.2014.421
Filename
6977134
Link To Document