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Real-time traffic sign recognition based on shape and color classification

机译:基于形状和颜色分类的实时交通标志识别

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摘要

In this work, a system is constructed to detect and classify traffic signs, aiming to build an early warning mechanism and assists the driver in recognizing basic and important signs. Recognition of all signs is beyond the scope of this work. The operation of this study is limited to traffic signs with specific shape and color under certain environmental circumstances. In this paper, detection of red and circular or triangular signs are targeted by collecting data using a camera, mounted in front of a vehicle. Traffic signs within the collected data are extracted from each frame through several detection phases and classified using Support Vector Machine algorithm which uses Histogram of Oriented Gradients as a feature.
机译:在这项工作中,构建了一个系统来检测和分类交通标志,旨在建立预警机制并帮助驾驶员识别基本和重要的标志。识别所有迹象超出了这项工作的范围。这项研究的操作仅限于在某些环境条件下具有特定形状和颜色的交通标志。在本文中,通过使用安装在车辆前部的摄像头收集数据,可以对红色,圆形或三角形标志进行检测。通过几个检测阶段从每个帧中提取收集到的数据中的交通标志,并使用支持向量机算法(以定向梯度直方图为特征)对它们进行分类。

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