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http://dx.doi.org/10.13067/JKIECS.2011.6.2.206

Video Based Fire Detection Algorithm using Gaussian Mixture Model  

Park, Jang-Sik (경성대학교 전자공학과)
Kim, Hyun-Tae (동의대학교 멀티미디어공학과)
Yu, Yun-Sik (동의대학교 부산IT융합부품연구소)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.6, no.2, 2011 , pp. 206-211 More about this Journal
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.
Keywords
색정보;Gaussian 혼합모델;연기;화염;화재;
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