Visual-based fire detection using local binary pattern-three orthogonal planes

This paper discussed a proposed method to detect fire with the main focus is to extract the fire features to increase the accuracy and using LBP-TOP feature extraction scheme to accelerate the process. The fire features produced by LBP-TOP was modeled by using dustering K-Means method as the reference model when the classification process was done by using K-NN method. By using those methods, the accuracy of the detection process can reach 92% and the computational cost can be reduced.