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首页> 外文期刊>Journal of computational and theoretical nanoscience >An Efficient Rule Based Algorithm for Fire Detection on Real Time Videos
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An Efficient Rule Based Algorithm for Fire Detection on Real Time Videos

机译:实时视频的火灾检测有效规则的算法

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The projected work shows generic rule in YCbCr color space based fire pixel detection is proposed for smart building which will complement the conventional electronic sensor based fire detection system. The proposed method handles YCbCr color model is used for decoupling the luminance and chrominance which added discriminate the color than RGB color model. This algorithm has been tested on fire and fire like images which results in 97.95% detection accuracy. Obtained experimental results have been compared with other existing algorithms and it is observed that gives a very high the proposed algorithm detection accuracy and feasible true positive rate in fire images.
机译:预计工作显示了YCBCR色空间空间的通用规则,基于智能建筑物提出了基于智能建筑的火像素检测,这将补充基于传统的电子传感器的火灾检测系统。 所提出的方法处理YCBCR颜色模型用于去耦的亮度和色度,该亮度和色度与RGB颜色模型相比辨别颜色。 该算法已在火灾和燃烧等图像上进行测试,类似于77.95%的检测精度。 获得了实验结果与其他现有算法进行了比较,观察到,在火图像中提供了非常高的提出算法检测精度和可行的真正阳性率。

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