A new fire recognition model based on the dispersion of color component

In the field of video fire detection, traditional fire color models have the poor adaptability and week robustness to interference. As fire can be divided into fire core, inner fire and outer fire areas depending on it´s temperature and color, a new fire recognition model referring to the dispersion of fire color components is proposed in this paper. The threshold of B component standard deviation is calculated out by drawing the ROC curve of detecting results based on large number of sample images. A series of experiment results show that the proposed color model can eliminate the influence of interferences and noises, and detect out the fire areas accurately in the image, which has a certain practical significance for fire detection.