@article{ref1,
title="Computer vision based method for real-time fire and flame detection",
journal="Pattern recognition letters",
year="2006",
author="Toreyin, B. Ugur and Dedeoğlu, Yiğithan and Güdükbay, Uğur and Çetin, A. Enis",
volume="27",
number="1",
pages="49-58",
abstract="This paper proposes a novel method to detect fire and/or flames in real-time by processing the video data generated by an ordinary camera monitoring a scene. In addition to ordinary motion and color clues, flame and fire flicker is detected by analyzing the video in the wavelet domain. Quasi-periodic behavior in flame boundaries is detected by performing temporal wavelet transform. Color variations in flame regions are detected by computing the spatial wavelet transform of moving fire-colored regions. Another clue used in the fire detection algorithm is the irregularity of the boundary of the fire-colored region. All of the above clues are combined to reach a final decision. Experimental results show that the proposed method is very successful in detecting fire and/or flames. In addition, it drastically reduces the false alarms issued to ordinary fire-colored moving objects as compared to the methods using only motion and color clues.<p /><p>Language: en</p>",
language="en",
issn="0167-8655",
doi="10.1016/j.patrec.2005.06.015",
url="http://dx.doi.org/10.1016/j.patrec.2005.06.015"
}