S. D. Wang, J. Wang, Y. P. He, J. J. Zou and B. B. Duan (2014) A Flame Detection Synthesis Algorithm. Journal/Fire Technology 50 959-975. [In English]
Web link: http://dx.doi.org/10.1007/s10694-012-0321-6
Keywords: Flame detection; Fuzzy integral; Mean filtering; Anti-jamming; MULTI-FEATURE FUSION; VIDEO FIRE-DETECTION; REAL-TIME FIRE; IMAGE; SYSTEM; MODEL

 Abstract: A flame detection synthesis algorithm is presented in this paper. The temporal and spatial of flames, such as flame movement, color clues and flame area variation are incorporated into the scheme to detect fires in video frames. Firstly, Choquet fuzzy integral was adopted to integrate color features and texture feature for extracting dynamic regions from video frames. Secondly, mean filtering was used to smooth RGB value of the video frame pixels and detected dynamic regions were filtered by a flame color filtering algorithm to extract candidate flame regions. Finally, a flame area variation identification algorithm was used to distinguish true flames from candidate flame regions. Experiments show that the proposed method is effective, robust and remains with strong anti-jamming performance against brightness variation. The processing rate of the flame detection method achieves 24 frames per second with image size of 320 x 240 pixels.