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Improved Traffic Signal Detection and Classification via Image Processing Algorithms

机译:通过图像处理算法改进交通信号检测和分类

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摘要

An image analysis technique for automatic traffic sign detection and classification is proposed. It makes it possible, after proper training, to detect, recognize and classify vertical road signs from video frames acquired on a moving vehicle equipped with cameras, as well as to identify anomalies with respect to road sign regulations (positioning and visibility). The experimental results show that this technique allows one to correctly detect and classify almost all vertical signs and, mainly in extra-urban environment, it can be considered as highly reliable, apart from being really versatile and user-friendly for road inventory and road maintenance purposes.
机译:提出了一种用于交通标志自动检测与分类的图像分析技术。经过适当的培训,可以从在装有摄像机的运动车辆上获取的视频帧中检测,识别和分类垂直道路标志,并识别与道路标志规定有关的异常(位置和可见性)。实验结果表明,该技术可以正确检测和分类几乎所有垂直标志,并且主要在城市以外的环境中,除了对道路清单和道路养护具有真正的通用性和用户友好性之外,还可以被认为是高度可靠的。目的。

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