Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Flame Detection using Region Expansions and On-line Variances in Infrared image

적외선 영상에서 영역확장과 온라인 분산을 이용한 화염 검출

  • Published : 2009.11.30
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Abstract

In this paper, we propose a flame detection method using region expansions and on-line variances in outdoor infrared video sequences. To segment flame candidates' regions in infrared images, we first, extract initial regions by high threshold values in infrared images and then the segmented regions are expanded to their neighbors with similar high intensity values. The segmented regions could be non-flame areas like bare-grounds and buildings. Therefore, to detect flame regions in the segmented regions, the segmented regions which have high intensity values in infrared image, are tracked using bounding regions in frame sequences. Variances in the tracked regions are calculated effectively by on-line updates to measure intensity variations on the tracked regions. Experiments show that the proposed method, which is based on region expansions and the average of on-line variances in the regions, is efficient to detect flames in infrared image.

본 논문에서는 적외선 영상에서 영역확장 및 온라인 분산을 이용한 화염검출 방법을 제안한다. 본 논문에서 제안된 화염검출 방법은 화염 후보영역을 효과적으로 검출하기 위하여, 먼저 적외선 자기 영상에 높은 임계값을 적용하여 초기 화염영역의 후보영역을 분할하고, 영역확장 방법을 이용하여 유사한 높은 값을 갖는 이웃영역으로 확장시켜 최종후보영역을 검출한다. 분할된 후보영역은 나대지 와 건물같은 비 화염 영역을 포함할 수 있기 때문에, 화염 영역을 검출하기 위하여 분할영역을 시간에 따라 추적하면서, 각 후보영역의 밝기 값의 변화 정도를 추적영역의 분산을 온라인 갱신에 의해 효과적으로 계산하였다. 적외선 영상에서의 실험을 통하여 영영 확장 방법과 온라인 분산에 의한 제안방법이 적외선 영상에서 효율적으로 화염을 검출함을 보였다.

Keywords

References

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