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Research on Model of Road Traffic Data Bbased on Large Data of Video

机译:基于视频大数据的道路交通数据模型研究

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Because of the traffic management of the video monitoring system has the characteristics of fast, networked, high-definition and intelligent development, In view of the low utilization rate and disorder of the current traffic information data collection, facing the impact of the “flood” resulting data, this paper presents a traffic video big data analysis and mining depth model definition video description file, this paper presents an algorithm for mining reasonable traffic data based on the value of video analysis, video structured data on the early formation of a unified encoding, and the target area by the number of intersections of mining, mining the data can be automatically selected for the trunk road green wave control, surveillance video the value of data into information file contains content of semantic information, so as to improve the use efficiency of traffic monitoring system.
机译:由于视频监控系统的交通管理具有快速,网络化,高清化,智能化发展的特点,鉴于当前交通信息数据采集的利用率低和混乱,面临“洪灾”的冲击得到的数据,本文提出了交通视频大数据分析和挖掘深度模型定义视频描述文件,本文提出了一种基于视频分析价值的合理交通数据挖掘算法,对视频结构化数据的早期形成统一编码,并通过对目标区域的交叉点数进行挖掘,可以自动选择挖掘的数据进行主干道绿波控制,将监控视频的数据值转换成包含语义信息内容的信息文件,从而提高使用效率交通监控系统。

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