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Nighttime Video Smoke Detection Based on Active Infrared Video Image

机译:基于主动红外视频图像的夜间视频烟雾检测

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Compared with traditional methods, video smoke detection has many advantages, such as fast response, noncontact and so forth. For the sake of detecting smoke in the nighttime with 0 lux around, the paper presents a smoke recognition method based on active infrared CCD video image. Experimental results show that it can well recognize smoke to reach the aim of smoke-detection in the nighttime, by extracting the feature that smoke reveals while the plume of smoke upwards, analyzing feature values, studying smoke recognition methods and comparing with the interferences.
机译:与传统方法相比,视频烟雾检测有许多优点,如快速响应,非接触等。为了在夜间检测烟雾,纸张呈现出基于主动红外CCD视频图像的烟雾识别方法。实验结果表明,通过提取烟雾向上的烟雾斑点的特征,分析烟雾识别方法并与干扰相比,可以很好地识别烟雾才能达到夜间烟雾检测的目的。

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