Efficient fire detection using fuzzy logic

Abstract

This paper presents Horus, a novel algorithm for fire detection in videos. It exploits a fuzzy model to discern the frame's fire areas by color recognition. The classic Mamdani fuzzy inference process allows estimating the membership degree of each pixel to the set of fire colored pixels. The final check analyzes the motion dynamic of the areas classified as fire to reduce the risk of false positives.