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Fire and smoke detection without sensors: Image processing based approach

机译:无传感器的火灾和烟雾检测:基于图像处理的方法

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摘要

In this paper, novel models for fire and smoke detection using image processing is provided. The models use different colour models for both fire and smoke. The colour models are extracted using a statistical analysis of samples extracted from different type of video sequences and images. The extracted models can be used in complete fire/smoke detection system which combines colour information with motion analysis.
机译:在本文中,提供了使用图像处理进行火灾和烟雾探测的新颖模型。这些模型对火灾和烟雾使用不同的颜色模型。使用对从不同类型的视频序列和图像中提取的样本进行统计分析来提取颜色模型。提取的模型可以用于完整的火灾/烟雾检测系统,该系统将颜色信息与运动分析相结合。

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