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      • Department of Electrical and Electronics Engineering
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      Flame detection in video using hidden Markov models

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      Author(s)
      Töreyin, B. Uğur
      Dedeoğlu, Yiğithan
      Çetin, A. Enis
      Date
      2005
      Source Title
      Proceedings of the International Conference on Image Processing, IEEE 2005
      Print ISSN
      1522-4880
      Publisher
      IEEE
      Pages
      1230 - 1233
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      This paper proposes a novel method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame flicker process is also detected by using a hidden Markov model. Markov models representing the flame and flame colored ordinary moving objects are used to distinguish flame flicker process from motion of flame colored moving objects. Spatial color variations in flame are also evaluated by the same Markov models, as well. These clues are combined to reach a final decision. False alarms due to ordinary motion of flame colored moving objects are greatly reduced when compared to the existing video based fire detection systems.
      Keywords
      Flame detection
      Flame flicker processes
      Hidden Markov models
      Color image processing
      Data processing
      Markov processes
      Mathematical models
      Motion estimation
      Object recognition
      Video recording
      Permalink
      http://hdl.handle.net/11693/27294
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICIP.2005.1530284
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      • Department of Electrical and Electronics Engineering 3702
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