A Measurement Method for Vehicle Queue Length of Intersection Based on Image Processing

Zhan Qi, Maojun Li, Chongpei Liu, M. Zhao, Manyi Long
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Abstract

We propose a real-time detection method for vehicle queue length detection at intersections based on image processing technology. Firstly, we acquire the image of vehicle queue at the intersection, and apply the automatic brightness adjustment algorithm and lane line detection algorithm to reduce the affect of different light intensity and camera shake on the image respectively. And then, the preprocessed image is subtracted from the background image to obtain the foreground image of queue vehicle. Finally, we detect the vehicle queue length by the middle line, and the actual vehicle queue length is measured by the camera calibration method. The experimental results show that the proposed method has high accuracy rate and is fast enough for practical application.
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基于图像处理的交叉口车辆队列长度测量方法
提出了一种基于图像处理技术的交叉口车辆队列长度实时检测方法。首先,获取路口车辆队列图像,采用自动亮度调节算法和车道线检测算法,分别降低不同光强和相机抖动对图像的影响;然后将预处理后的图像与背景图像相减,得到队列车辆的前景图像。最后通过中线检测车辆队列长度,通过摄像机标定方法测量实际车辆队列长度。实验结果表明,该方法具有较高的准确率和速度,适合实际应用。
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