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dc.contributor.authorNikolov, B.
dc.contributor.authorKostov, N.
dc.date.accessioned2014-12-09T13:34:29Z
dc.date.available2014-12-09T13:34:29Z
dc.date.issued2014-06cs
dc.identifier.citationRadioengineering. 2014, vol. 23, č. 2, s. 652-658. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/36463
dc.description.abstractMotion detection methods are widely integrated in modern intelligent video surveillance systems. Many of these methods use background subtraction techniques to separate the foreground objects from the background. Temporal averaging is one of the most commonly used and simple method for background subtraction. In this paper we propose new version of the original Temporal averaging algorithm. The speed of updating the background model has been modified to be adaptive and determined by pixel difference. Another approach with simultaneously adaptive threshold and background update speed is also proposed. Our goal is increasing the F-measure of the method by making the algorithm more versatile for different scene scenarios. Experimental results are shown and analyzed. The quality parameters of the original method and the proposed method are compared.en
dc.formattextcs
dc.format.extent652-658cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2014/14_02_0652_0658.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMotion detectionen
dc.subjectBackground subtractionen
dc.subjectVideo surveillanceen
dc.titleMotion Detection Using Adaptive Temporal Averaging Methoden
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume23cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Zobrazit minimální záznam

Creative Commons Attribution 3.0 Unported License
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