Abstract
This paper focuses on the physically reliable detection of fire, where the multispectral calibration of camera and multispectral-Martin-distance-based fire detection are studied. By regarding the multispectral irradiance sequence of fire as dynamic texture and studying the sequence with the Linear Dynamic System (LDS) model, we represent the sequence with the parameters of the LDS model. The multispectral Martin distance is defined to measure the degree of difference between image sequences. The fire detection method based on the multispectral martin distance realized the combination of the dynamic texture recognition technology and the multispectral-based fire detection. Experiments are conducted on two datasets to validate the effectiveness of our method. The work of this paper made the fire detection results more physically reliable.
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