Background Subtraction Algorithms with Post-processing: A Review

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 outpe...

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Bibliographic Details
Published in2014 22nd International Conference on Pattern Recognition pp. 2436 - 2441
Main Authors Setitra, Insaf, Larabi, Slimane
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2014
Subjects
background modeling
bakcground subtraction
Computational modeling
Estimation
History
Image color analysis
Kernel
Lighting
post processing
state of the art
Streaming media
video analysis
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Summary: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.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2014.421