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Using image processing technique for measuring and analyzing traffic flows at signalized intersections

机译:使用图像处理技术测量和分析信号交叉口的交通流量

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In the aspect of photographing traffic flows, this study solves the problem of non-vertical angle photos by calibrating the Bleyl's coordinate transfer formulas with multiple points. In vehicle recognition, the 'twice histogram method" has beendeveloped to obtain the traffic image background from which the passing of vehicles is identified. Another development on vehicle detection is the 1'vehicle-path pseudo line-detector", also called 1'line and curve detector", for analyzing the time-spacing of vehicular flows in different lane/road situations. The entire length of the detector with vehicles present is the object in detection, not individual vehicles. The traffic parameters thus obtained are the time-space diagram every one-thirtieth secondand the vehicular flow shock waves at signalized intersections, from which many others can be derived. It is suitable for analyzing varieties of straight and turning paths of traffic flows.
机译:在拍摄交通流量的方面,本研究通过校准具有多个点的坐标转移公式来解决非垂直角照片的问题。在车辆识别中,“两次的直方图方法”已经开始开发,以获得识别车辆的流逝的交通图像背景。车辆检测的另一个发展是1'Vehicle-Path伪线检测器“,也称为1'Line和曲线检测器“,用于分析不同车道/道路情况下车辆流动的时间间隔。当前车辆的探测器的整个长度是检测,而不是单个车辆的物体。由此获得的交通参数是时间空间每一个三十分的图,信号交叉点处的车辆流动冲击波,可以从中获得许多其他的车辆流动冲击波。它适用于分析交通流量的直线和转动路径的各种。

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