The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Video Based Fire Detection Algorithm using Gaussian Mixture Model

Gaussian 혼합모델을 이용한 영상기반 화재검출 알고리즘

  • 박장식 (경성대학교 전자공학과) ;
  • 김현태 (동의대학교 멀티미디어공학과) ;
  • 유윤식 (동의대학교 부산IT융합부품연구소)
  • Received : 2011.02.07
  • Accepted : 2011.04.12
  • Published : 2011.04.30
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Abstract

In this paper, a fire detection algorithm based on video processing is proposed. At the first stage, background image extracted from CCTV video input signal, and then foreground image were separated by differencing CCTV input signal from background image. At the second stage, candidated area were extracted by using color information from foreground image. At the final stage, smoke or flame characteristic area were separated by using Gaussian mixture modeling applied to candidated area, and then fire can be detected. Through real experiments at the inner room, it is shown that the proposed system works well.

본 논문에서는 Gaussian 혼합모델을 이용한 영상기반 화재검출 알고리즘을 제안한다. CCTV로부터 입력되는 영상으로부터 배경영상을 추출한 후 입력영상과 배경영상간의 차신호로부터 전경영상을 분리한다. 분리된 전경영상은 배경영상에 대하여 변화가 생긴 후보영역으로 간주하고 후보영역에 대하여 Gaussian 혼합모델 기법을 적용하여 연기 또는 화염의 특성을 갖는 영역을 화재로 인식한다. 실험 결과를 통하여 제안하는 화재검출 알고리즘이 실내에서의 화염 및 연기를 검출할 수 있음을 보인다.

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References

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