Real-time wildfire detection using correlation descriptors

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage898en_US
dc.citation.spage894en_US
dc.contributor.authorHabiboğlu, Y. Hakanen_US
dc.contributor.authorGünay, Osmanen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialBarcelona, Spainen_US
dc.date.accessioned2016-02-08T12:16:59Z
dc.date.available2016-02-08T12:16:59Z
dc.date.issued2011en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 29 Aug.-2 Sept. 2011en_US
dc.description.abstractA video based wildfire detection system that based on spatio-temporal correlation descriptors is developed. During the initial stages of wildfires smoke plume becomes visible before the flames. The proposed method uses background subtraction and color thresholds to find the smoke colored slow moving regions in video. These regions are divided into spatio-temporal blocks and correlation features are extracted from the blocks. Property sets that represent both the spatial and the temporal characteristics of smoke regions are used to form correlation descriptors. An SVM classifier is trained and tested with descriptors obtained from video data containing smoke and smoke colored objects. Experimental results are presented. © 2011 EURASIP.en_US
dc.identifier.issn2219-5491
dc.identifier.urihttp://hdl.handle.net/11693/28306
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.source.title2011 19th European Signal Processing Conferenceen_US
dc.subjectBackground subtractionen_US
dc.subjectCorrelation featuresen_US
dc.subjectDescriptorsen_US
dc.subjectInitial stagesen_US
dc.subjectMoving regionsen_US
dc.subjectSmoke plumeen_US
dc.subjectSpatio-temporalen_US
dc.subjectSpatiotemporal correlationen_US
dc.subjectSVM classifiersen_US
dc.subjectTemporal characteristicsen_US
dc.subjectVideo dataen_US
dc.subjectWildfire detectionen_US
dc.subjectFiresen_US
dc.subjectSignal processingen_US
dc.subjectSmokeen_US
dc.titleReal-time wildfire detection using correlation descriptorsen_US
dc.typeConference Paperen_US

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