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首页> 外文会议>Conference on Applications of Digital Image Processing XXV, Jul 8-10, 2002, Seattle, Washington, USA >Automatic Recognition of Road Signs
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Automatic Recognition of Road Signs

机译：自动识别路标

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摘要

The increase in traffic accidents is becoming a serious social problem with the recent rapid traffic increase. In many cases, the driver's carelessness is the primary factor of traffic accidents, and the driver assistance system is demanded for supporting driver's safety. In this research, we propose the new method of automatic detection and recognition of road signs by image processing. The purpose of this research is to prevent accidents caused by driver's carelessness, and call attention to a driver when the driver violates traffic a regulation. In this research, high accuracy and the efficient sign detecting method are realized by removing unnecessary information except for a road sign from an image, and detect a road sign using shape features. At first, the color information that is not used in road signs is removed from an image. Next, edges except for circular and triangle ones are removed to choose sign shape. In the recognition process, normalized cross correlation operation is carried out to the two-dimensional differentiation pattern of a sign, and the accurate and efficient method for detecting the road sign is realized. Moreover, the real-time operation in a software base was realized by holding down calculation cost, maintaining highly precise sign detection and recognition. Specifically, it becomes specifically possible to process by 0.1 sec(s)/frame using a general-purpose PC (CPU: Pentium4 1.7GHz). As a result of in-vehicle experimentation, our system could process on real time and has confirmed that detection and recognition of a sign could be performed correctly.
机译：随着最近交通的快速增长，交通事故的增加正成为严重的社会问题。在许多情况下，驾驶员的粗心是交通事故的主要因素，并且需要驾驶员辅助系统来支持驾驶员的安全。在这项研究中，我们提出了一种通过图像处理自动检测和识别道路标志的新方法。这项研究的目的是防止因驾驶员的粗心而引起的事故，并在驾驶员违反交通法规时引起驾驶员注意。在这项研究中，通过从图像中去除道路标志以外的不必要信息，并使用形状特征检测道路标志，实现了高精度和有效的标志检测方法。首先，将路标中未使用的颜色信息从图像中删除。接下来，去除圆形和三角形以外的边缘以选择符号形状。在识别过程中，对标牌的二维区分模式进行归一化互相关运算，实现了准确，高效的路标检测方法。此外，通过降低计算成本，保持高精度的符号检测和识别，可以在软件库中实现实时操作。具体地说，使用通用PC（CPU：Pentium4 1.7GHz）可以以0.1秒/帧的速度进行处理。车载实验的结果是，我们的系统可以实时处理，并确认可以正确执行对标志的检测和识别。

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