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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Computer vision based forest fire detection

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      Author
      Töreyin, B. Uğur
      Çetin, A. Enis
      Date
      2008
      Source Title
      Proceedings of the 16th Signal Processing, Communication and Applications Conference, IEEE 2008
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      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.
      Keywords
      Background images
      Detection methods
      Fire detections
      Forest fire detections
      Forest fires
      Surveillance cameras
      Update rates
      Buildings
      Computer vision
      Deforestation
      Fire detectors
      Image processing
      Navigation
      Security systems
      Signal processing
      Fires
      Safety
      Towers
      Permalink
      http://hdl.handle.net/11693/26839
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2008.4632677
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      • Department of Electrical and Electronics Engineering 3619
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