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      • Department of Computer Engineering
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      Real-time fire and flame detection in video

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      Author
      Dedeoğlu, Yigithan
      Töreyin, B. Ugur
      Güdükbay, Uğur
      Çetin, A. Enis
      Date
      2005
      Source Title
      (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
      Print ISSN
      1520-6149
      Publisher
      IEEE
      Pages
      669 - 672
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
      179
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      Abstract
      This paper proposes a novel method to detect fire and/or flame by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker is detected by analyzing the video in wavelet domain. Periodic behavior in flame boundaries is detected by performing temporal wavelet transform. Color variations in fire is detected by computing the spatial wavelet transform of moving fire-colored regions. Other clues used in the fire detection algorithm include irregularity of the boundary of the fire colored region and the growth of such regions in time. All of the above clues are combined to reach a final decision.
      Keywords
      Algorithms
      Cameras
      Color
      Condition monitoring
      Fire detectors
      Real time systems
      Video signal processing
      Wavelet transforms
      Fire detection algorithm
      Flame boundaries
      Spatial wavelet transform
      Video data
      Flame deflectors
      Permalink
      http://hdl.handle.net/11693/27322
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICASSP.2005.1415493
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      • Department of Computer Engineering 1368
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