Real-time fire and flame detection in video

The 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 are detected by analyzing the video in the wavelet domain. Periodic behavior in flame boundaries is detected by performing a temporal wavelet transform. Color variations in fire are 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.

[1]  A. Enis Çetin,et al.  Signal recovery from wavelet transform maxima , 1994, IEEE Trans. Signal Process..

[2]  Glenn Healey,et al.  A system for real-time fire detection , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[3]  Mubarak Shah,et al.  Flame recognition in video , 2002, Pattern Recognit. Lett..

[4]  Narendra Ahuja,et al.  Vision based fire detection , 2004, ICPR 2004.

[5]  Takeo Kanade,et al.  A System for Video Surveillance and Monitoring , 2000 .

[6]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[7]  Michael F. Barnsley,et al.  Fractals everywhere , 1988 .

[8]  Aishy Amer.  Voting-based simultaneous tracking of multiple video objects , 2003, IS&T/SPIE Electronic Imaging.

[9]  A. Enis Çetin,et al.  Moving object detection using adaptive subband decomposition and fractional lower-order statistics in video sequences , 2002, Signal Process..