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http://dx.doi.org/10.13067/JKIECS.2014.9.2.149

Fire Detection in Outdoor Using Statistical Characteristics of Smoke  

Kim, Hyun-Tae (동의대학교 멀티미디어공학과)
Park, Jang-Sik (경성대학교 전자공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.9, no.2, 2014 , pp. 149-154 More about this Journal
Abstract
Detection performance of fire detection in the outdoor depends on weather conditions, the shadow by the movement of the sun, or illumination changes. In this paper, a smoke detection in conjunction with a robust background estimate algorithm to environment change in the outdoor in daytime is proposed. Gaussian Mixture Model (GMM) is applied as background estimation, and also, statistical characteristics of smoke is applied to detect the smoke for separated candidate region. Through the experiments with input videos obtained from a various weather conditions, the proposed algorithms were useful to detect smoke in the outdoor.
Keywords
Gaussian Mixture Model; Statistical Characteristics; Outdoor Environments; Smoke Detection;
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Times Cited By KSCI : 3  (Citation Analysis)
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