Traffic Sign Classification Using Ring Partitioned Method(Intelligent Transport System)

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概要

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• Traffic sign recognition usually consists of two stages : detection and classification. In this paper, we describe the classification stage using the ring-partitioned method. The proposed method uses a specified grayscale image in the pre-processing step and ring-partitioned matching in the matching step. The method does not need carefully prepared many samples of traffic sign images for the training process, alternatively only the standard traffic signs are used as the reference images. The experimental results show the effectiveness of the method in the matching of occluded, rotated, and illumination problems of the traffic sign images with the fast computation time.

• 一般社団法人電子情報通信学会の論文
• 2005-09-01

著者

• Yamada Koichi

  Nagaoka Univ. Technol.

• SOETEDJO Aryuanto

  Nagaoka University of Technology

関連論文

• Linear models vs Agile models : Making the right model decision
• Traffic Sign Classification Using Ring Partitioned Method(Intelligent Transport System)

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