Comparison of color space for fire detection

Abstract

Detecting forest fire is a highly active research area in the field of pattern recognition and computer vision as a number of existing methods available in the literature. The purpose of the presented study is to select the most suitable color space for the fire pixel classification. Our approach begins by finding the likelihood of every pixel value. The fire is then defined by multiplying pixel channel value's likelihood. By using a simple thresholding schema, the fire pixel classification process is performed. Our experimental study demonstrates the suitability of each color space for fire detection. © 2012 IEEE.