Background subtraction algorithms with post processing A review

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dc.contributor.authorSetitra, Insaf
dc.contributor.authorLarabi, Slimane
dc.date.accessioned2014-04-28T15:50:33Z
dc.date.available2014-04-28T15:50:33Z
dc.date.issued2014-04-28
dc.description.abstractDue 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.fr_FR
dc.identifier.isrnCERIST-DSISM/RR--14-0000000014--dz
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/654
dc.publisherCERIST
dc.relation.ispartofRapports de recherche internes
dc.relation.placeAlger
dc.structureSystèmes d'Information et Image en Santé (S2IS)fr_FR
dc.subjectbakcground subtractionfr_FR
dc.subjectvideo analysisfr_FR
dc.subjectbackground modelingfr_FR
dc.subjectpost processingfr_FR
dc.subjectstate of the artfr_FR
dc.titleBackground subtraction algorithms with post processing A reviewfr_FR
dc.typeTechnical Report
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