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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Video based fire detection at night

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      Author
      Taşdemir, Kasım
      Günay, Osman
      Töreyin, Behçet Uğur
      Çetin, A. Enis
      Date
      2009
      Source Title
      Proceedings of the IEEE 17th Signal Processing and Communications Applications Conference, SIU 2009
      Publisher
      IEEE
      Pages
      720 - 723
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      There has been increasing interest in the study of video based fire detection as video based surveillance systems become widely available for indoor and outdoor monitoring applications. Video based fire detection methods in computer vision literature do not take into account whether the fire takes place in the day time or at night. A novel method explicitly developed for video based detection of fire at night (in the dark) is presented in this paper. The method comprises three sub-algorithms each of which characterizes certain part of fire at night. Individual decisions of the sub-algorithms are combined together using a least-mean-square based decision fusion approach.
      Keywords
      Decision fusion
      Fire detection
      Fire-detection method
      Least mean squares
      Novel methods
      Outdoor monitoring
      Video based surveillance
      Computer vision
      Fire detectors
      Security systems
      Signal detection
      Signal processing
      Permalink
      http://hdl.handle.net/11693/28727
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2009.5136497
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      • Department of Electrical and Electronics Engineering 3524
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