Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Video fire detection - Review

dc.contributor.authorÇetin, A. Enis
dc.contributor.authorDimitropoulos, Kosmas
dc.contributor.authorGouverneur, Benedict
dc.contributor.authorGrammalidis, Nikos
dc.contributor.authorGünay, Osman
dc.contributor.authorHabiboğlu, Y. Hakan
dc.contributor.authorTöreyin, Behçet Uğur
dc.contributor.authorVerstockt, Steven
dc.contributor.authorID19325tr_TR
dc.contributor.authorID2147tr_TR
dc.date.accessioned2017-03-03T13:36:11Z
dc.date.available2017-03-03T13:36:11Z
dc.date.issued2013
dc.departmentÇankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliğien_US
dc.description.abstractThis is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to use security cameras and special purpose infrared surveillance cameras for fire detection. This requires intelligent video processing techniques for detection and analysis of uncontrolled fire behavior. VFD may help reduce the detection time compared to the currently available sensors in both indoors and outdoors because cameras can monitor "volumes" and do not have transport delay that the traditional "point" sensors suffer from. It is possible to cover an area of 100 km(2) using a single pan-tilt-zoom camera placed on a hilltop for wildfire detection. Another benefit of the VFD systems is that they can provide crucial information about the size and growth of the fire, direction of smoke propagationen_US
dc.description.publishedMonth12
dc.identifier.citationÇetin, A.E...et al. (2013). Video fire detection - Review. Digital Signal Processing, 23(6), 1827-1843. http://dx.doi.org/10.1016/j.dsp.2013.07.003en_US
dc.identifier.doi10.1016/j.dsp.2013.07.003
dc.identifier.endpage1843en_US
dc.identifier.issn1051-2004
dc.identifier.issue6en_US
dc.identifier.startpage1827en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/1383
dc.identifier.volume23en_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc Elsevier Scienceen_US
dc.relation.ispartofDigital Signal Processingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectVideo Based Fire Detectionen_US
dc.subjectComputer Visionen_US
dc.subjectSmoke Detectionen_US
dc.subjectWaveletsen_US
dc.subjectCovariance Matricesen_US
dc.subjectDecision Fusionen_US
dc.titleVideo fire detection - Reviewtr_TR
dc.titleVideo fire detection - Reviewen_US
dc.typeArticleen_US
dspace.entity.typePublication

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