The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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Smoke Detection using Block-based Difference Images and Projections

블록기반 차영상과 투영 그래프를 이용한 연기검출

  • 김동근 (공주대학교 컴퓨터공학부) ;
  • 김원호 (공주대학교 전기전자공학부)
  • Published : 2007.10.31
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Abstract

In this paper, we propose a smoke detection method which is based on block-wise difference of image frames in video. Our proposed method is composed of three steps which are (a) the detection step of the changed regions against the background, (b) the background update step, and (c) the smoke determination step from the changed regions. We first construct the block mean Image of frames in video. And to extract the changed regions against the background, we use a block-wise difference between background's block mean image and a current input frame's block mean image. After applying projections in block-based difference images, we can determine the changed regions as rectangles using projections of difference images. we propose a update scheme of background's block mean image using the projections. We decide the smoke region using the femoral statistics of the central position and YUV color in the changed region.

본 논문은 비디오 영상에서 블록기반 차영상을 이용한 연기검출 방법을 제시한다. 제안된 방법은 배경으로부터 변경된 영역 검출 단계, 배경영상 갱신단계, 검출된 영역이 연기인지를 판단하는 단계의 세 단계로 구성된다. 입력 비디오에서 각 프레임의 블록 평균영상을 계산하였으며, 변화영역을 검출하기 위하여 배경영상의 블록평균영상과 입력영상의 블록평균영상의 차이를 사용한다. 블록기반 차영상을 투영하여 변화된 사각영역을 검출한다. 차영상의 투영을 이용한 배경블록평균영상의 갱신방법을 제안한다. 변화영역의 중심위치 및 YUV 색상의 시간적 특징을 이용하여 연기영역을 판단한다.

Keywords

References

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Cited by

  1. Smoke Detection using Region Growing Method vol.16B, pp.4, 2009, https://doi.org/10.3745/KIPSTB.2009.16-B.4.271