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Video fire detection - Review

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dc.contributor.author Çetin, A. Enis
dc.contributor.author Dimitropoulos, Kosmas
dc.contributor.author Gouverneur, Benedict
dc.contributor.author Grammalidis, Nikos
dc.contributor.author Günay, Osman
dc.contributor.author Habiboğlu, Y. Hakan
dc.contributor.author Töreyin, Behçet Uğur
dc.contributor.author Verstockt, Steven
dc.date.accessioned 2017-03-03T13:36:11Z
dc.date.available 2017-03-03T13:36:11Z
dc.date.issued 2013-12
dc.identifier.citation Çetin, A.E...et al. (2013). Video fire detection - Review. Digital Signal Processing, 23(6), 1827-1843. http://dx.doi.org/10.1016/j.dsp.2013.07.003 tr_TR
dc.identifier.issn 1051-2004
dc.identifier.uri http://hdl.handle.net/20.500.12416/1383
dc.description.abstract This 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 propagation tr_TR
dc.language.iso eng tr_TR
dc.publisher Academic Press Inc Elsevier Science tr_TR
dc.relation.isversionof 10.1016/j.dsp.2013.07.003 tr_TR
dc.rights info:eu-repo/semantics/closedAccess
dc.subject Video Based Fire Detection tr_TR
dc.subject Computer Vision tr_TR
dc.subject Smoke Detection tr_TR
dc.subject Wavelets tr_TR
dc.subject Covariance Matrices tr_TR
dc.subject Decision Fusion tr_TR
dc.title Video fire detection - Review tr_TR
dc.type article tr_TR
dc.relation.journal Digital Signal Processing tr_TR
dc.contributor.authorID 19325 tr_TR
dc.contributor.authorID 2147 tr_TR
dc.identifier.volume 23 tr_TR
dc.identifier.issue 6 tr_TR
dc.identifier.startpage 1827 tr_TR
dc.identifier.endpage 1843 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği tr_TR


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