A Forest Fire Detection Algorithm Using Image Information

영상정보를 이용한 산불 감지 알고리즘

  • Seo, Min-Seok (Division of Information and Communication Engineering Hanbat National University) ;
  • Lee, Choong Ho (Division of Information and Communication Engineering Hanbat National University)
  • 서민석 (한밭대학교 정보통신공학과) ;
  • 이충호 (한밭대학교 정보통신공학과)
  • Received : 2019.09.18
  • Accepted : 2019.09.30
  • Published : 2019.09.30

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.

영상정보에서 색상만을 이용하여 산불을 감지하는 것은 매우 어려운 이슈이다. 본 논문은 산불을 포함하고 있는 동영상에서 영역의 색상과 움직임을 분석하여 산불영역을 감지하는 알고리즘을 제안한다. 제안하는 알고리즘에서는 조명 상태에 의존하지 않고 배경 영역을 추출 가능한 가우시안 믹스쳐 기반의 배경 분할 알고리즘을 이용하여 제거한다. 또한 RGB채널을 HSV채널로 변경하여 색상 기반으로 화염 후보들을 추출한다. 그렇게 추출된 화염후보들은 라벨링 및 트래킹을 하면서 면적이 일정하면서 이동하면 화염이 아니라고 판단한다. 이런 방법으로 추출된 화염후보 영역들이 2분 이상 같은 위치에 있으면 화염으로 판단한다. 구현된 알고리즘을 이용하여 실험한 결과 그 유효성을 확인하였다.

Keywords

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