engleski

Intelligent algorithm for smoke extraction in autonomous forest fire detection

Forest fire, if not detected early enough, can cause great damage. In order to reduce it, it is vital to detect fire as soon as possible and act upon it. In its early stage, forest fire manifests itself primarily as smoke, as flames are too little to be seen. Therefore, to ensure forest fire detection in its earliest stages, smoke detection is utilized. Autonomous forest fire detection based on smoke detection is currently one of the greatest challenges in image processing field. The main reason for it is that there are lots of smoke-resembling natural phenomena such as clouds, cloud shadows and dust. So the essence of the problem lies in separating these phenomena from real smoke. In this article we propose a smoke detection algorithm that combines motion detection, edge detection, spectrum analyzing and moving shape analyzing algorithms, matched together to increase detection rate and to decrease false alarm rate.

forest fire detection ; smoke detection ; image processing

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