Autonomous text capturing robot using improved DCT feature and text tracking

Makoto Tanaka, Hideaki Goto

研究成果: Conference contribution

14 被引用数 (Scopus)

抄録

When an autonomous robot tries to find text in the surrounding scene using an onboard video camera, some duplicate text images appear in the video frames. To avoid recognizing the same text many times, it is necessary to decrease the number of text candidate regions for recognition. This paper presents a text capturing robot that can look around the environment using an active camera. The text candidate regions are extracted from the images using an improved DCT feature. The text regions are tracked in the video sequence so that the number of text images to be recognized is reduced. In the experiment, we tested 460 images of a corridor with fifteen signboards including text. The number of text candidate regions is reduced by 90.1% using our text tracking method.

本文言語English
ホスト出版物のタイトルProceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
ページ1178-1182
ページ数5
DOI
出版ステータスPublished - 2007 12月 1
イベント9th International Conference on Document Analysis and Recognition, ICDAR 2007 - Curitiba, Brazil
継続期間: 2007 9月 232007 9月 26

出版物シリーズ

名前Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
2
ISSN(印刷版)1520-5363

Other

Other9th International Conference on Document Analysis and Recognition, ICDAR 2007
国/地域Brazil
CityCuritiba
Period07/9/2307/9/26

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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