Fire color detection using color look up and histogram analysis

Detecting the presence of fire in an image or video is one of the domain problem in computer vision. Visual based fire detection occurs to overcome the weakness of the conventional, specially in monitoring area. There has been a lot of proposed method to detect the presence of fire in image or video [2,3,4,5,6,9]. Based on proposed method, the process to detect presence of fire in image or video can be considered as multi-filtering process. One of the phase for fire detection is to determine candidate fire based on their color. In this research we focuses on determining the presence of fire in image based on their pixel intensity and their distribution. Fire has unique color that can be used to distinguish them from other objects. There are several ways to determine candidate fire pixel based on their intensity property like using chromatic rule [3] and color look up table [14]. We proposed additional process using simple approach based on value of pixel distribution (histogram analysis). Our experiment shows that by using color look up table combined with histogram analysis, we can determine the presence of fire in image with accuracy about 100% for fire image categories and 60% for fake fire image categories.