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


Toreyin B. U. , DEDEOGLU Y., GUDUKBAY U., CETIN A.

PATTERN RECOGNITION LETTERS, vol.27, no.1, pp.49-58, 2006 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 1
  • Publication Date: 2006
  • Doi Number: 10.1016/j.patree.2005.06.015
  • Title of Journal : PATTERN RECOGNITION LETTERS
  • Page Numbers: pp.49-58

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. (c) 2005 Elsevier B.V. All rights reserved.