Video based fire detection at night

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage723en_US
dc.citation.spage720en_US
dc.contributor.authorTaşdemir, Kasımen_US
dc.contributor.authorGünay, Osmanen_US
dc.contributor.authorTöreyin, Behçet Uğuren_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialAntalya, Turkeyen_US
dc.date.accessioned2016-02-08T12:28:07Z
dc.date.available2016-02-08T12:28:07Z
dc.date.issued2009en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 9-11 April 2009en_US
dc.descriptionConference Name: IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009en_US
dc.description.abstractThere has been increasing interest in the study of video based fire detection as video based surveillance systems become widely available for indoor and outdoor monitoring applications. Video based fire detection methods in computer vision literature do not take into account whether the fire takes place in the day time or at night. A novel method explicitly developed for video based detection of fire at night (in the dark) is presented in this paper. The method comprises three sub-algorithms each of which characterizes certain part of fire at night. Individual decisions of the sub-algorithms are combined together using a least-mean-square based decision fusion approach.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:28:07Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1109/SIU.2009.5136497en_US
dc.identifier.urihttp://hdl.handle.net/11693/28727
dc.language.isoTurkishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2009.5136497en_US
dc.source.titleProceedings of the IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009en_US
dc.subjectDecision fusionen_US
dc.subjectFire detectionen_US
dc.subjectFire-detection methoden_US
dc.subjectLeast mean squaresen_US
dc.subjectNovel methodsen_US
dc.subjectOutdoor monitoringen_US
dc.subjectVideo based surveillanceen_US
dc.subjectComputer visionen_US
dc.subjectFire detectorsen_US
dc.subjectSecurity systemsen_US
dc.subjectSignal detectionen_US
dc.subjectSignal processingen_US
dc.titleVideo based fire detection at nighten_US
dc.title.alternativeVideoda gece yangını tespitien_US
dc.typeConference Paperen_US

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