首页> 外国专利> SYSTEM AND METHOD FOR PREPROCESSING SEQUENTIAL VIDEO IMAGES FOR FIRE DETECTION BASED ON DEEP LEARNING AND METHOD OF TRAINING DEEP LEARNING NETWORK FOR FIRE DETECTION

SYSTEM AND METHOD FOR PREPROCESSING SEQUENTIAL VIDEO IMAGES FOR FIRE DETECTION BASED ON DEEP LEARNING AND METHOD OF TRAINING DEEP LEARNING NETWORK FOR FIRE DETECTION

机译:基于深度学习和训练深层学习网络进行火灾探测方法,用于预处理视频图像的系统和方法

摘要

Provided are a system and method for preprocessing sequential video images for fire detection based on deep learning and a method of training a deep learning network for fire detection. The system includes a selector configured to select a plurality of sequential images in streaming data as one set, a converter configured to convert color information of the plurality of selected sequential set images into spectral reflectance information using preset standard color space feature information, a filtering part configured to filter the plurality of sequential set images of which the color information is converted into the spectral reflectance information through a fire color filter, and a fire map generator configured to generate one fire map image by compressing the plurality of filtered sequential set images.
机译:提供了一种用于预处理用于基于深度学习的火灾检测的顺序视频图像的系统和方法,以及培训深度学习网络进行火灾探测的方法。该系统包括被配置为在流数据中选择多个顺序图像的选择器,该转换器被配置为使用预设标准颜色空间特征信息,过滤部分将多个所选择的顺序集合图像的颜色信息转换为光谱反射信息。被配置为通过火滤滤波器将颜色信息转换为频谱反射信息的多个顺序集合,以及被配置为通过压缩多个滤波的顺序集图像来生成一个火地图图像的火地图生成器。

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