Computer vision based method for real-time fire and flame detection

  • Authors:

  • B. Uğur Töreyin;Yiğithan Dedeoğlu;Uğur Güdükbay;A. Enis Çetin

  • Affiliations:

  • Department of Electrical and Electronics Engineering, Bilkent University, 06800 Bilkent, Ankara, Turkey;Department of Computer Engineering, Bilkent University, 06800 Bilkent, Ankara, Turkey;Department of Computer Engineering, Bilkent University, 06800 Bilkent, Ankara, Turkey;Department of Electrical and Electronics Engineering, Bilkent University, 06800 Bilkent, Ankara, Turkey

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2006

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Abstract

This paper proposes a novel method to detect fire and/or flames in real-time 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 the wavelet domain. Quasi-periodic behavior in flame boundaries is detected by performing temporal wavelet transform. Color variations in flame regions are detected by computing the spatial wavelet transform of moving fire-colored regions. Another clue used in the fire detection algorithm is the irregularity of the boundary of the fire-colored region. All of the above clues are combined to reach a final decision. Experimental results show that the proposed method is very successful in detecting fire and/or flames. In addition, it drastically reduces the false alarms issued to ordinary fire-colored moving objects as compared to the methods using only motion and color clues.