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http://dx.doi.org/10.9717/kmms.2014.17.1.008

A Fire Detection Using Color and Movement of Flames  

Cho, KyoungLae (동명대학교 전기전자정보통신공학과)
Bae, Sung-Ho (동명대학교 의용공학과)
Publication Information
Abstract
In this paper, we propose a new fire detection method using moving features and colors of flames in video sequences. It uses YCbCr color space to separate the luminance from the chrominance components more effectively than RGB color space. In the proposed method, moving regions of flames are detected by cumulating the difference of luminance between two consecutive images and generate candidate flame regions by using the color of flames. Finally, it decides whether the candidate flame regions are flames or not by using their temporal changes of the areas. Experimental results show that the proposed method performs better in segmenting fire regions compared with the conventional fire detection method in video sequences.
Keywords
Fire Detection; Flame Detection; YCbCr Color Space;
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Times Cited By KSCI : 2  (Citation Analysis)
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