Traffic sign recognition by distorted template matching

Ryoki Takada; Jiro Katto

doi:10.1109/GCCE.2014.7031263

Traffic sign recognition by distorted template matching

Ryoki Takada, Jiro Katto

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Traffic sign recognition contributes to the safety of drivers and people around the car. The system analyzes the road ahead images taken by on-vehicle camera, but blurred and distorted images make it difficult to recognize correct traffic sign. In this paper, we propose a method that deforms from ellipses to perfect circles and applies template matching with distorted sign templates.

本文言語	English
ホスト出版物のタイトル	2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	416-418
ページ数	3
ISBN（印刷版）	9781479951451
DOI	https://doi.org/10.1109/GCCE.2014.7031263
出版ステータス	Published - 2014 2 3
イベント	2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan 継続期間: 2014 10 7 → 2014 10 10

Other

Other	2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
Country	Japan
City	Tokyo
Period	14/10/7 → 14/10/10

ASJC Scopus subject areas

Electrical and Electronic Engineering

文献へのアクセス

10.1109/GCCE.2014.7031263

フィンガープリント「Traffic sign recognition by distorted template matching」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル

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