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System for early detecting disasters based on SVM and method thereof

机译:基于支持向量机的灾害早期发现系统及其方法

摘要

The present invention relates to an SVM-based intelligent emergency disaster detection system and method thereof, and more particularly, to an SVM-based intelligent emergency disaster detection system and method thereof that analyzes images received from a plurality of CCTV cameras using an SVM learning algorithm and detects disasters such as fire, flood, An SVM-based intelligent emergency disaster detection system for detecting a situation and notifying a user of a dangerous situation, and a computer-readable recording medium recording a program for realizing the method.To this end, the present invention provides an image processing apparatus including an input unit for decoding a plurality of input images and converting the input images into shared data; A shared data management unit for managing the shared data converted by the input unit; A processing unit for analyzing shared data from the shared data management unit based on a SVM (Support Vector Machine) learning algorithm to detect a disaster abnormal situation; And an output unit for outputting a disaster abnormal situation detected by the processing unit.;
机译:基于SVM的智能紧急灾难检测系统及其方法技术领域本发明涉及基于SVM的智能紧急灾难检测系统及其方法,尤其涉及一种使用SVM学习算法分析从多个CCTV摄像机接收到的图像的基于SVM的智能紧急灾难检测系统及其方法。并检测诸如火灾,洪水之类的灾难;基于SVM的智能紧急灾难检测系统,用于检测情况并通知用户危险情况;计算机可读记录介质,记录用于实现该方法的程序。本发明提供一种图像处理装置,其包括:输入单元,用于对多个输入图像进行解码并将输入图像转换为共享数据。共享数据管理单元,用于管理由输入单元转换的共享数据;处理单元,用于基于SVM(支持向量机)学习算法对来自共享数据管理单元的共享数据进行分析,以检测灾难异常情况;输出单元,用于输出处理单元检测到的灾害异常情况。

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