Geometrical, physical and text/symbol analysis based approach of traffic sign detection system

Yangxing Liu, Takeshi Ikenaga, Satoshi Goto

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

Traffic sign detection is a valuable part of future driver support system. In this paper, we present a novel framework to accurately detect traffic signs from a single color image by analyzing geometrical, physical andtext/symbol features of traffic signs. First, we utilize an elaborate edge detection algorithm to extract edge map and accurate edge pixel gradient information. Second 2-D geometric primitives (circles, ellipses, rectangles and triangles) are quickly extracted from image edge map. Third the candidate traffic sign regions are selected by analyzing the intrinsic color features, which are invariant to different illumination conditions, of each region circumvented by geometric primitives. Finally a text and symbol detection algorithm is introduced to classify true traffic signs. Experimental results demonstrated the capabilities of our algorithm to detect traffic signs with respect to different size, shape, color and illumination conditions.

本文言語English
ホスト出版物のタイトル2006 IEEE Intelligent Vehicles Symposium, IV 2006
ページ238-243
ページ数6
出版ステータスPublished - 2006 12 1
イベント2006 IEEE Intelligent Vehicles Symposium, IV 2006 - Meguro-Ku, Tokyo, Japan
継続期間: 2006 6 132006 6 15

出版物シリーズ

名前IEEE Intelligent Vehicles Symposium, Proceedings

Conference

Conference2006 IEEE Intelligent Vehicles Symposium, IV 2006
CountryJapan
CityMeguro-Ku, Tokyo
Period06/6/1306/6/15

ASJC Scopus subject areas

  • Modelling and Simulation
  • Automotive Engineering
  • Computer Science Applications

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