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Vehicle Flow Detection Based on Machine Vision

机译:基于机器视觉的车辆流量检测

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摘要

Vehicle flow detection is the key technology of intelligence traffic system. In order to overcome the shortcomings of traditional detection method which with low detection precision and is difficult to install and maintenance, a method, based on machine vision, which combines adjacent frame difference and background frame difference is proposed, besides, another method of vehicles count by vertical projection is also proposed. The simulation results show that the proposed vehicle detection algorithm not only can achieve high detection accuracy, but also is very simple and fast.
机译:车辆流量检测是智能交通系统的关键技术。为了克服传统检测方法检测精度低,安装维护困难的缺点,提出了一种基于机器视觉的,结合了相邻帧差和背景帧差的方法,并提出了另一种车辆计数方法。还提出了通过垂直投影的方法。仿真结果表明,提出的车辆检测算法不仅可以达到较高的检测精度,而且非常简单,快速。

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