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      • Department of Computer Engineering
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      Wavelet based real-time smoke detection in video

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      Author
      Töreyin, B. Uğur
      Dedeoǧlu, Yiğithan
      Çetin, A. Enis
      Date
      2005-09
      Source Title
      13th European Signal Processing Conference, EUSIPCO 2005
      Publisher
      IEEE
      Pages
      293 - 296
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      A method for smoke detection in video is proposed. It is assumed the camera monitoring the scene is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a decrease in the high frequency content of the image. To determine the smoke in the field of view of the camera, the background of the scene is estimated and decrease of high frequency energy of the scene is monitored using the spatial wavelet transforms of the current and the background images. Edges of the scene are especially important because they produce local extrema in the wavelet domain. A decrease in values of local extrema is also an indicator of smoke. In addition, scene becomes grayish when there is smoke and this leads to a decrease in chrominance values of pixels. Periodic behavior in smoke boundaries and convexity of smoke regions are also analyzed. All of these clues are combined to reach a final decision.
      Keywords
      Background image
      Field of views
      Final decision
      High frequency
      Image frames
      Local extremum
      Periodic behavior
      Semi-transparent
      Smoke detection
      Wavelet domain
      Cameras
      Smoke detectors
      Wavelet analysis
      Smoke
      Permalink
      http://hdl.handle.net/11693/27298
      Published Version (Please cite this version)
      https://ieeexplore.ieee.org/document/7077943
      Collections
      • Department of Computer Engineering 1370
      • Department of Electrical and Electronics Engineering 3524
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