Computer vision based forest fire detection

Computer vision based forest fire detection
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基于计算机视觉的森林火灾检测

DOI:
10.1109/siu.2008.4632677
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发表时间:
2008
期刊:
2008 IEEE 16th Signal Processing, Communication and Applications Conference
影响因子:
--
通讯作者:
A. Cetin
A. Cetin
中科院分区:
--
文献类型:
--
作者:
B. U. Toreyin;A. Cetin

文献摘要

被引文献

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瞭望站普遍安装在土耳其和世界各地的森林中。这些岗位中的大多数都有电。可以在这些监控塔上放置监控摄像头,以检测可能的森林火灾。目前,在有人把守的瞭望塔中,平均火情探测时间为5分钟。本文提出的基于计算机视觉的火灾检测方法的目的是降低火灾的平均检测率。该检测方法基于对不同更新率的背景图像进行小波分析。
Lookout posts are commonly installed in the forests all around Turkey and the world. Most of these posts have electricity. Surveillance cameras can be placed on to these surveillance towers to detect possible forest fires. Currently, average fire detection time is 5 minutes in manned lookout towers. The aim of the proposed computer vision based method is to reduce the average fire detection rate. The detection method is based on the wavelet based analysis of the background images at various update rates.