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      • Department of Electrical and Electronics Engineering
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      Fire detection in infrared video using wavelet analysis

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      Author
      Töreyin, B. U.
      Cinbiş, R. G.
      Dedeoğlu, Y.
      Çetin, A. Enis
      Date
      2007
      Source Title
      Optical Engineering
      Print ISSN
      0091-3286
      Electronic ISSN
      1560-2303
      Publisher
      SPIE - International Society for Optical Engineering
      Volume
      46
      Issue
      6
      Pages
      19313 (1-7)
      Language
      English
      Type
      Article
      Item Usage Stats
      131
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      192
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      Abstract
      A novel method to detect flames in infrared (IR) video is proposed. Image regions containing flames appear as bright regions in IR video. In addition to ordinary motion and brightness clues, the flame flicker process is also detected by using a hidden Markov model (HMM) describing the temporal behavior. IR image frames are also analyzed spatially. Boundaries of flames are represented in wavelet domain and the high frequency nature of the boundaries of fire regions is also used as a clue to model the flame flicker. All of the temporal and spatial clues extracted from the IR video are combined to reach a final decision. False alarms due to ordinary bright moving objects are greatly reduced because of the HMM-based flicker modeling and wavelet domain boundary modeling.
      Permalink
      http://hdl.handle.net/11693/23455
      Published Version (Please cite this version)
      https://doi.org/10.1117/1.2748752
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      • Department of Electrical and Electronics Engineering 3524
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