Computer vision based method for real-time fire and flame detection
Computer vision based method for real-time fire and flame detection
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DOI：
10.1016/j.patrec.2005.06.015
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发表时间：
2006-01-01
影响因子：
5.1
通讯作者：
Çetin, AE
中科院分区：
文献类型：
--
作者：
Töreyin, BU;Dedeoglu, Y;Çetin, AE
本文提出了一种新的方法来检测火灾和/或火焰的实时处理所产生的视频数据由一个普通的摄像机监控场景。除了普通的运动和颜色线索，火焰和火焰闪烁检测通过分析视频中的小波域。火焰边界的准周期性行为是通过执行时间小波变换检测。火焰区域的颜色变化通过计算移动的火焰颜色区域的空间小波变换来检测。在火灾检测算法中使用的另一个线索是火焰颜色区域的边界的不规则性。以上所有的线索都结合起来，以达到最终的决定。实验结果表明，该方法是非常成功的检测火灾和/或火焰。此外，它大大减少了误报发出普通的火彩色运动物体相比，只使用运动和颜色线索的方法。(c)2005 Elsevier B. V.保留所有权利。
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. (c) 2005 Elsevier B.V. All rights reserved.