关键词: 火焰检测, 火焰闪频, 色彩模型, 逻辑回归, 累积差分

Abstract: Fire detection based on video image is an important research way to fire prevention. In order to improve fire detection rate, this paper formulates a novel color model to extract the candidate fire area with the color information of RGB and HSI color space at first. Then this paper proposes a novel method to extract the flicker frequency feature based on accumulative difference of three-channels of RGB color space, analyzes the flicker frequency feature values by logistic regression (LR) so as to get the optimized weight and slope, and establishes the probability model of flicker frequency feature value based on the optimized weight and slope. Finally, this paper uses the probability model in fire detection. The experimental results show that the proposed method makes the fire detection high accuracy and wide application, especially superiority for detecting the small flame.

Key words: fire detection, fire flicker frequency, color model, logistic regression, accumulative difference