Video fire detection-Review
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.citation.epage | 1843 | en_US |
dc.citation.issueNumber | 6 | en_US |
dc.citation.spage | 1827 | en_US |
dc.citation.volumeNumber | 23 | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.contributor.author | Dimitropoulos, K. | en_US |
dc.contributor.author | Gouverneur, B. | en_US |
dc.contributor.author | Grammalidis, N. | en_US |
dc.contributor.author | Günay, O. | en_US |
dc.contributor.author | Habiboğlu, Y. H. | en_US |
dc.contributor.author | Töreyin, B. U. | en_US |
dc.contributor.author | Verstockt, S. | en_US |
dc.date.accessioned | 2018-04-12T13:45:03Z | |
dc.date.available | 2018-04-12T13:45:03Z | |
dc.date.issued | 2013 | en_US |
dc.department | Department of Electrical and Electronics Engineering | 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 km2 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. | en_US |
dc.description.provenance | Made available in DSpace on 2018-04-12T13:45:03Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2013 | en |
dc.identifier.doi | 10.1016/j.dsp.2013.07.003 | en_US |
dc.identifier.issn | 1051-2004 | |
dc.identifier.uri | http://hdl.handle.net/11693/38125 | |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1016/j.dsp.2013.07.003 | en_US |
dc.source.title | Digital Signal Processing: A Review Journal | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Covariance matrices | en_US |
dc.subject | Decision fusion | en_US |
dc.subject | Smoke detection | en_US |
dc.subject | Video based fire detection | en_US |
dc.subject | Wavelets | en_US |
dc.subject | Covariance matrices | en_US |
dc.subject | Decision fusion | en_US |
dc.subject | Fire detection | en_US |
dc.subject | Smoke detection | en_US |
dc.subject | Wavelets | en_US |
dc.subject | Cameras | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Covariance matrix | en_US |
dc.subject | Fire detectors | en_US |
dc.subject | Sensors | en_US |
dc.subject | Video signal processing | en_US |
dc.subject | Security systems | en_US |
dc.title | Video fire detection-Review | en_US |
dc.type | Review | en_US |
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