Study On The Flame Detection Algorithm Based On The Fusion Of Dynamic Model

The discovery of fire, so that human development is different from other species, has opened up a new era in the history of civilization. If it used correctly will benefit mankind, once relax their vigilance, resulting in not being controlled, it will bring very serious losses.Traditional hardware-based flame detector are responding fire only to meet the requirements, can not be done on a timely and effective fire alarm. Therefore, people gathered to look into the practical, fast response intelligent video systems.This paper studies the flame detection algorithm based on a fusion dynamic model of flame, combined with the prospect of extracting the target RGB and HSI color model to determine the video image of the suspected fire area.Then combine the three eigenvalues dynamic characteristics of the suspected flame region extraction rate of the area change, roundness, and the similarity,setting the threshold to analyzed and determine respectively. Then put the three eigenvalues of the dynamic model into flame fusion set weights suspected comprehensive analysis to determine the flame region. Finally, marking the flame zone.Experimental results show that the algorithm can achieve real-time, there is a certain adaptability to the environment, to similar objects flame or emitting source has certain anti-jamming capability. When the dynamic characteristics of the initial flame is detected no significant effect is obvious,the test results of the flame characteristics significant is more accurate. Compared to the method of using frame difference to extract moving objects combined RGB color space identification, the algorithm undetected rate decreased, the phenomenon of false detection basically does not exist.