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Vision System for Real-time Road Sign Detection.

用于实时道路标志检测的视觉系统。

基本信息

批准号：
15300051
负责人：
HIRAI Yuzo
金额：
$ 10.24万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-15300051/
关键词：
ITS Road sign symbol HSV color coodinate Opponent-color filter Discriminant analysis Car mounted video camera 反対色ブィルタ円抽出反対色フィルター動画像処理

项目摘要

To assist safe driving, a vision system for real-time recognition of road sign symbols has been developed. This research focuses on six road signs : Speed limits to 30km,40km and 50km, No parking, No parking and standing, and No overtake. The process of road sign recognition consists of four stages : (1)Detection of red object, (2)detection of red circular object, (3)segmentation of sign symbol surrounded by a read annulus, and (4)classification of the symbol. Detection of red object is carried out by using HSV color coordinate system. Circularity of the detected red object is checked by fitting a circle equation to the outer boundary of the object. In order to detect partially occluded signs correctly, one of the four directional states, increase or decrease in x and y coordinates, is assigned to the boundary edge pixels and three consecutive partial sequences within a complete circular state sequence are accepted as a circular object. Segmentation of sign symbol is carried out by applying red-green opponent color filter and the filter output of each pixel is assigned to either foreground or background according to discriminant analysis. After the segmentation of symbol part structural features are detected, and road sign is classified by a decision tree.The performance of the system has been investigated by 2 hours video data, and it has shown that the recognition rate is 97%. The processing speed is about 10 frames/sec by 2.8GHz Pentium processor. We are continuing the research to recognize "Stop" sign, for example, oversight of which will lead to fatal car accidents.

为了协助安全驾驶，我们开发了一种用于实时识别道路标志符号的视觉系统。本研究重点关注六个路标：限速30公里、40公里和50公里、禁止停车、禁止停车和站立、禁止超车。道路标志识别的过程包括四个阶段：（1）红色物体的检测，（2）红色圆形物体的检测，（3）被读取的圆环包围的标志符号的分割，以及（4）符号的分类。红色物体的检测是利用HSV颜色坐标系进行的。通过将圆方程拟合到物体的外边界来检查检测到的红色物体的圆度。为了正确检测部分遮挡的标志，将四个方向状态之一（x 和 y 坐标的增加或减少）分配给边界边缘像素，并将完整圆形状态序列内的三个连续部分序列接受为圆形对象。通过应用红绿对手滤色器来进行符号符号的分割，并且根据判别分析将每个像素的滤光器输出分配为前景或背景。检测到符号部分结构特征的分割后，通过决策树对道路标志进行分类。通过2小时的视频数据对系统的性能进行了考察，结果表明识别率为97%。 2.8GHz Pentium处理器的处理速度约为10帧/秒。我们正在继续研究识别“停车”标志，例如，疏忽会导致致命的车祸。