Computer vision based forest fire detection
buir.contributor.author | Çetin, A. Enis | |
buir.contributor.orcid | Çetin, A. Enis|0000-0002-3449-1958 | |
dc.contributor.author | Töreyin, B. Uğur | en_US |
dc.contributor.author | Çetin, A. Enis | en_US |
dc.coverage.spatial | Aydın, Turkey | en_US |
dc.date.accessioned | 2016-02-08T11:37:19Z | |
dc.date.available | 2016-02-08T11:37:19Z | |
dc.date.issued | 2008 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 20-22 April 2008 | en_US |
dc.description | Conference Name: 16th Signal Processing, Communication and Applications Conference, IEEE 2008 | en_US |
dc.description.abstract | Lookout posts are commonly installed in the forests all around Turkey and the world. Most of these posts have electricity. Surveillance cameras can be placed on to these surveillance towers to detect possible forest fires. Currently, average fire detection time is 5 minutes in manned lookout towers. The aim ofthe proposed computer vision based method is to reduce the average fire detection rate. The detection method is based on the wavelet based analysis of the background images at various update rates. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:37:19Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008 | en |
dc.identifier.doi | 10.1109/SIU.2008.4632677 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/26839 | |
dc.language.iso | Turkish | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/SIU.2008.4632677 | en_US |
dc.source.title | Proceedings of the 16th Signal Processing, Communication and Applications Conference, IEEE 2008 | en_US |
dc.subject | Background images | en_US |
dc.subject | Detection methods | en_US |
dc.subject | Fire detections | en_US |
dc.subject | Forest fire detections | en_US |
dc.subject | Forest fires | en_US |
dc.subject | Surveillance cameras | en_US |
dc.subject | Update rates | en_US |
dc.subject | Buildings | en_US |
dc.subject | Computer vision | en_US |
dc.subject | Deforestation | en_US |
dc.subject | Fire detectors | en_US |
dc.subject | Image processing | en_US |
dc.subject | Navigation | en_US |
dc.subject | Security systems | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Fires | en_US |
dc.subject | Safety | en_US |
dc.subject | Towers | en_US |
dc.title | Computer vision based forest fire detection | en_US |
dc.title.alternative | Bilgisayarla görü ile orman yangını tespiti | en_US |
dc.type | Conference Paper | en_US |
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