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http://dx.doi.org/10.3745/KIPSTB.2009.16-B.4.271

Smoke Detection using Region Growing Method  

Kim, Dong-Keun (공주대학교 컴퓨터공학부)
Publication Information
The KIPS Transactions:PartB / v.16B, no.4, 2009 , pp. 271-280 More about this Journal
Abstract
In this paper, we propose a smoke detection method using region growing method in outdoor video sequences. Our proposed method is composed of three steps; the initial change area detection step, the boundary finding and expanding step, and the smoke classification step. In the first step, we use a background subtraction to detect changed areas in the current input frame against the background image. In difference images of the background subtraction, we calculate a binary image using a threshold value and apply morphology operations to the binary image to remove noises. In the second step, we find boundaries of the changed areas using labeling algorithm and expand the boundaries to their neighbors using the region growing algorithm. In the final step, ellipses of the boundaries are estimated using moments. We classify whether the boundary is smoke by using the temporal information.
Keywords
Smoke Detection; Region Growing; Moments;
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Times Cited By KSCI : 1  (Citation Analysis)
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