A flame detection method based on the Amount of Movement of the Flame Edge

This paper proposes a flame detection method based on the Amount of Movement of the Flame Edge (AMFE) for detecting the fire with the characteristic of the flame edge's constant motion. Firstly, background update has to be done to extract moving regions. And then the suspect area of similar flame color will be identified from the moving regions based on HSI color model. Finally, the paper construct curve of the AMFE of the flame suspect area, and make use of the local maxima of the wavelet coefficient of the high-frequency components to detect whether there is flame in a video sequence with the application of wavelet transform on this curve. The experiment results prove the accuracy and the effectiveness of this method.