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视频智能监控检测道路拥挤度方法
引用本文:王东.视频智能监控检测道路拥挤度方法[J].金卡工程,2012(4):12-14.
作者姓名:王东
作者单位:广东岭南职业技术学院
摘    要:近年来,视频监控系统已经广泛应用于道路交通管控中。本文通过检测移动物体的图像序列估算交通拥挤度。该算法是通过拥挤度估算模型计算单位时间内检测移动物体数量,得到实时的交通信息。本文应用MATLAB实现了这一估算方法,并在实际道路测试验证了该计算方法的可靠性。

关 键 词:交通拥挤度  智能检测  视频识别  运动检测  背景提取

A Traffic Congestion Detection Method for Intelligent Video Surveillance
Wang Dong.A Traffic Congestion Detection Method for Intelligent Video Surveillance[J].Cards World,2012(4):12-14.
Authors:Wang Dong
Institution:Wang Dong(Lingnan Institute of Technology,Guangzhou 510663, Guangdong)
Abstract:In recent years, video surveillance system has been widely used for road traffic control. This paper proposes a method of estimating traffic density by detecting image sequence of moving vehicles. This method uses congestion estimating model to count the quantity of moving vehicles in a period, which outcomes real-time traffic information. As a computing tool, MATLAB is used for implementing estimating method; this estimating method has been tested for the reliability and precision with good performance.
Keywords:traffic congestion degree  intelligent detection  video identification  moving vehicle detection  image background extraction
本文献已被 CNKI 维普 等数据库收录!
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