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.authorid Dimitropoulos, Kosmas/0000-0003-1584-7047
dc.authorid Toreyin, Behcet Ugur/0000-0003-4406-2783
dc.authorid Grammalidis, Nikos/0000-0001-8465-6258
dc.authorscopusid 57197548971
dc.authorscopusid 22950021000
dc.authorscopusid 6504518697
dc.authorscopusid 6701851845
dc.authorscopusid 36052828800
dc.authorscopusid 49061188200
dc.authorscopusid 9249500700
dc.authorwosid Grammalidis, Nikos/U-9411-2019
dc.authorwosid Toreyin, Behcet Ugur/A-6780-2012
dc.contributor.author Cetin, A. Enis
dc.contributor.author Töreyin, Behçet Uğur
dc.contributor.author Dimitropoulos, Kosmas
dc.contributor.author Gouverneur, Benedict
dc.contributor.author Grammalidis, Nikos
dc.contributor.author Gunay, Osman
dc.contributor.author Habiboglu, Y. Hakan
dc.contributor.author Verstockt, Steven
dc.contributor.authorID 19325 tr_TR
dc.contributor.authorID 2147 tr_TR
dc.contributor.other Elektrik-Elektronik Mühendisliği
dc.date.accessioned 2017-03-03T13:36:11Z
dc.date.available 2017-03-03T13:36:11Z
dc.date.issued 2013
dc.department Çankaya University en_US
dc.department-temp [Cetin, A. Enis; Gunay, Osman; Habiboglu, Y. Hakan] Bilkent Univ, Dept Elect & Elect Engn, TR-06533 Ankara, Turkey; [Dimitropoulos, Kosmas; Grammalidis, Nikos] Ctr Res & Technol Hellas, Inst Informat Technol, Thermi 57001, Greece; [Gouverneur, Benedict] Xen Infrared Solut, Louvain, Belgium; [Toreyin, B. Ugur] Cankaya Univ, Dept Elect & Commun Engn, Ankara, Turkey; [Verstockt, Steven] Univ Ghent, iMinds, ELIS Dept, Multimedia Lab, Ledeberg Ghent, Belgium en_US
dc.description Dimitropoulos, Kosmas/0000-0003-1584-7047; Toreyin, Behcet Ugur/0000-0003-4406-2783; Grammalidis, Nikos/0000-0001-8465-6258 en_US
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. (c) 2013 Elsevier Inc. All rights reserved. en_US
dc.description.publishedMonth 12
dc.description.sponsorship FIRESENSE (Fire Detection and Management through a Multi-Sensor Network for the Protection of Cultural Heritage Areas from the Risk of Fire and Extreme Weather Conditions) [FP7-ENV-2009-1244088-FIRESENSE]; Scientific and Technological Research Council of Turkey (TUBITAK) [EEEAG 111E217] en_US
dc.description.sponsorship This work was supported in part by FIRESENSE (Fire Detection and Management through a Multi-Sensor Network for the Protection of Cultural Heritage Areas from the Risk of Fire and Extreme Weather Conditions, FP7-ENV-2009-1244088-FIRESENSE) and by The Scientific and Technological Research Council of Turkey (TUBITAK) under grant EEEAG 111E217. en_US
dc.description.woscitationindex Science Citation Index Expanded
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 en_US
dc.identifier.doi 10.1016/j.dsp.2013.07.003
dc.identifier.endpage 1843 en_US
dc.identifier.issn 1051-2004
dc.identifier.issn 1095-4333
dc.identifier.issue 6 en_US
dc.identifier.scopus 2-s2.0-84884910172
dc.identifier.scopusquality Q2
dc.identifier.startpage 1827 en_US
dc.identifier.uri https://doi.org/10.1016/j.dsp.2013.07.003
dc.identifier.volume 23 en_US
dc.identifier.wos WOS:000325383800001
dc.identifier.wosquality Q2
dc.language.iso en en_US
dc.publisher Academic Press inc Elsevier Science en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 267
dc.subject Video Based Fire Detection en_US
dc.subject Computer Vision en_US
dc.subject Smoke Detection en_US
dc.subject Wavelets en_US
dc.subject Covariance Matrices en_US
dc.subject Decision Fusion en_US
dc.title Video fire detection - Review tr_TR
dc.title Video Fire Detection - Review en_US
dc.type Article en_US
dc.wos.citedbyCount 204
dspace.entity.type Publication
relation.isAuthorOfPublication 31d067df-3d94-4058-a635-943b70f82ea4
relation.isAuthorOfPublication.latestForDiscovery 31d067df-3d94-4058-a635-943b70f82ea4
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relation.isOrgUnitOfPublication.latestForDiscovery a8b0a996-7c01-41a1-85be-843ba585ef45

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