应用图像处理方法自动检测路口车辆排队长度

在智能交通处理系统中，路口车流参数——车辆排队长度，占空比等可以为很多情况提供必要的信息，如交通阻塞及交通事故的监控、交通信号灯的控制等。其中交通路口车流的长度是车流参数中最重要的一个。本文提出了一种基干图像局部特征的路口车辆排队长度的检测方法，通过融合图像的点特征(角点)和线特征(边缘)，完成车流长度的检测，包括停止车流的长度以及在可视范围内整体车流的长度。实验结果表明，这种方法实现简单、应用效果良好，具有较好的应用前景。

DETECTING THE LENGTH OF TRAFFIC QUEUE BY IMAGE PROCESSING

In an Intelligent Traffic Systems(ITS),traffic queue parameters at the intersections or crossroads are required in many applications,such as in the congestion and accident monitoring and the timings controlling of traffic light.The length of traffic queue is one of the most important parameters.In this paper we propose an image processing method to detect the length of the queue,including the length of halting queue as well as all the vehicles within view.The method is fulfilled by combining the corner features and edge features of the image.Experimental results show that it is a simple and promising method for traffic queue detection.