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Video Smoke Detection Based on the Method of Optical Flow

机译:基于光流方法的视频烟雾检测

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摘要

with the rapid development of urbanization and the population swell,the economic loss caused by fire is rising year by year.At present, there are more and more large space places,such as the underground tunnels,large chemical plants,large warehouses etc. At present,domestic research mainly focus on the detection of flame in visual band,and fire is not the initial typical physical characteristics when fire happened,so this kind of system is hard to achieve the fire early detection. Foreign researches mainly focus on the analysis of the color of the smoke. Based on this,combining with the color of smoke and dynamic features, this paper make further research for the method of the detection of early images of fire smoke.
机译:随着城市化的快速发展和人口的激增,火灾造成的经济损失逐年增加。目前,地下隧道,大型化工厂,大型仓库等大型场所越来越多。目前,国内的研究主要集中在视觉范围内的火焰检测上,而火灾并不是发生火灾时的初始典型物理特征,因此这种系统很难实现火灾的早期检测。国外的研究主要集中在烟雾的颜色分析上。在此基础上,结合烟雾的颜色和动态特征,对火灾烟雾早期图像的检测方法进行了进一步的研究。

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