Outdoor fire detection on the video frames including fire zones close to the fire-like objects recorded by a fixed camera

In this paper, an automatic outdoor fire detection method is proposed for the fire videos recorded by a fixed camera. First, a new set of color rules is introduced to eliminate the non-fire pixels as much as possible while detecting the fire zone pixels completely. Next, the texture and flicker effect features are extracted from the detected fire zone, to remove the remainder of non-fire pixels if still any non-fire pixel exists. The texture feature is extracted by using the angular second moment. To extract the flicker effect feature, the time prehistory signal of color components of each fire zone pixel is obtained and passed through a half band high pass filter. Finally, the Ward classifier clusters the fire features to separate the fire zone pixels from the non-fire. At the various steps of the proposed method, the morphology process is also used to improve the accuracy of fire detection. The proposed method is applied to the ۲۰۰ different fire videos including the fire-like objects. Simulation results indicate ۶% to ۵۶% improvement on performance of the proposed method in comparison to the similar ones.

Keywords:

Fire detection , Outdoor fire video frames , Fixed camera , feature extraction , Flicker effect feature , Clustering