Video based flame detection algorithm

Video based flame detection from a surveillance camera offers early warning to ensure prompt reaction to devastat- ing fire hazards. Many existing fire detection methods based on computer vision technology have achieved high detec- tion rates, but often with unacceptably high false-alarm rates. This paper presents an automatic flame detection method using computer vision and pattern recognition techniques. This method uses the features of fire, such as the moving parameters, chromatic components, and geometrical (flickering) features. For experimental researches the databases of Bilkent University and Dyntex database were used. The developed method of flame detection on video provides 89.5-98.2 % of accuracy for flame sequences. The number of frames of test video sequences was 6.853, the total duration of the videos is 5 minutes. Experimental results show that the proposed method is feasible and effective for video based flame detection.