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 :
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