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

^*この研究の対応する著者

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
国/地域	Japan
City	Tokyo
Period	14/10/7 → 14/10/10

ASJC Scopus subject areas

電子工学および電気工学

文献へのアクセス

10.1109/GCCE.2014.7031263

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引用スタイル

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title = "Traffic sign recognition by distorted template matching",

abstract = "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.",

keywords = "SIFT features, template matching, traffic sign recognition",

author = "Ryoki Takada and Jiro Katto",

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booktitle = "2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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AU - Takada, Ryoki

AU - Katto, Jiro

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AB - 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.

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KW - traffic sign recognition

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U2 - 10.1109/GCCE.2014.7031263

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AN - SCOPUS:84946685835

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BT - 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014

Y2 - 7 October 2014 through 10 October 2014

ER -

Traffic sign recognition by distorted template matching

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Other

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