色と輪郭情報を用いた交通標識の抽出と認識に関する検討

概要

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In this paper, we propose a method for recognition of traffic signs in color road scene images. Traffic signs visually give information about road condition to vehicle drivers. However, the drivers must always recognize driving environments and control their cars. These will become burdens on drivers and will give rise to overlook signs. If automatic road sign recognition is realized, their burdens will be reduced. Therefore, an automatic detection and recognition of traffic signs are very important in Intelligent Transport Systems(ITS). Many studies on detection of traffic signs have been reported. However, most of these are studied with restricted road environment and experimental images, and there are some problems in these studies. This proposed method is used with color distributed functions, edge line extraction, Fourier series expansion, pattern recognition and etc.. Experimental results are reported.
津山工業高等専門学校の論文
2004-02-27