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Measurement System of Traffic Flow Using Real-Time Processing of Moving Pictures

机译:运动图像实时处理的交通流量测量系统

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摘要

In this paper, an automatic traffic flow measuring system and a realtime image processing algorithm have been developed. The pictures of moving vehicles taken by an industrial television (ITV) camera are digitized into sample points in odd ITV frames and the points are processed in even ITV frames by a personal computer. We detect the presence of vehicles by comparing the brightness of the sample points of vehicle with that of the road. After eliminating noises contained in the digitized sample points by appropriate smoothing techniques, we obtain a contour of each vehicle. Using the contour, the number of passing vehicles is effectively measured by counting the number of sample points of each vehicle. Also the type of a vehicle is easily figured out by counting the number of sample points corresponding to the width of vehicle's contour. The performance of the proposed algorithm is demonstrated by actual implementation. From the experimental results 1-2% measuring error was observed.
机译:本文开发了一种自动交通流量测量系统和实时图像处理算法。由工业电视(ITV)摄像机拍摄的行驶中的车辆的图片被数字化为ITV奇数帧中的采样点,并且这些点由个人计算机以ITV偶数帧进行处理。我们通过比较车辆和道路采样点的亮度来检测车辆的存在。在通过适当的平滑技术消除了数字化采样点中包含的噪声之后,我们获得了每辆车的轮廓。使用该轮廓,通过对每辆车的采样点数量进行计数,可以有效地测量过往车辆的数量。另外,通过对与车辆轮廓的宽度相对应的采样点的数量进行计数,可以轻松地确定车辆的类型。实际实现证明了该算法的性能。从实验结果观察到1-2%的测量误差。

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