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A Forest Fire Detection Algorithm Using Image Information  

Seo, Min-Seok (Division of Information and Communication Engineering Hanbat National University)
Lee, Choong Ho (Division of Information and Communication Engineering Hanbat National University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.20, no.3, 2019 , pp. 159-164 More about this Journal
Abstract
Detecting wildfire using only color in image information is a very difficult issue. This paper proposes an algorithm to detect forest fire area by analyzing color and motion of the area in the video including forest fire. The proposed algorithm removes the background region using the Gaussian Mixture based background segmentation algorithm, which does not depend on the lighting conditions. In addition, the RGB channel is changed to an HSV channel to extract flame candidates based on color. The extracted flame candidates judge that it is not a flame if the area moves while labeling and tracking. If the flame candidate areas extracted in this way are in the same position for more than 2 minutes, it is regarded as flame. Experimental results using the implemented algorithm confirmed the validity.
Keywords
Fire Detection; OpenCV; Fire Area Labeling; Fire Tracking; Background Removal;
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