A Study on Smoke Extraction Technique Using Correlation Between Flames

Abstract

A wide-ranging fire detection technology in outdoor has been required. For this requirement, ordinary detection systems were studied based on complex shape change of smoke. However, in addition to this feature we focused on change of transparency with the time passage. Then, We proposed an new extraction technique of smoke from features such as density, direction of the movement and shape. Concretely, based on difference between frames, amount of feature and judgment algorithm were clarified by experiment From the results, the validity of the proposed algorithm were confirmed and some study subjects such as accuracy improvement and application into fire monitoring system. were picked up for advancement.