Traffic Light Signal Detection: A Study

Priyanka Verma, V. Singh
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Abstract

This paper presents a study on the use of a monocular video camera for traffic lights detection, in a variety of conditions, including adverse weather and illumination. The study emphasizes on the system incorporating a color pre-processing module to enhance the discrimination of red and green regions in the image and handle the “blooming effect” that is often observed in such scenes. The study also illustrates that the fast radial symmetry transform is utilized for the detection of traffic light candidates and finally false positive results are minimized using spatiotemporal persistency verification over many years.
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交通信号灯检测的研究
本文介绍了在各种条件下,包括恶劣天气和照明条件下,使用单目摄像机进行交通信号灯检测的研究。本研究的重点是在系统中加入色彩预处理模块,增强图像中红绿区域的区分能力,处理这类场景中经常出现的“盛开效应”。研究还表明,利用快速径向对称变换对候选交通灯进行检测,最终通过多年的时空持久性验证将假阳性结果降至最低。
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