Autonomous text capturing robot using improved DCT feature and text tracking

Makoto Tanaka; Hideaki Goto

doi:10.1109/ICDAR.2007.4377101

Autonomous text capturing robot using improved DCT feature and text tracking

Makoto Tanaka, Hideaki Goto

Research and Development Divisions

Tohoku University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Pages	1178-1182
Number of pages	5
DOIs	https://doi.org/10.1109/ICDAR.2007.4377101
Publication status	Published - 2007
Event	9th International Conference on Document Analysis and Recognition, ICDAR 2007 - Curitiba, Brazil Duration: 2007 Sept 23 → 2007 Sept 26

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2
ISSN (Print)	1520-5363

Conference

Conference	9th International Conference on Document Analysis and Recognition, ICDAR 2007
Country/Territory	Brazil
City	Curitiba
Period	07/9/23 → 07/9/26

Access to Document

10.1109/ICDAR.2007.4377101

Cite this

Tanaka, M., & Goto, H. (2007). Autonomous text capturing robot using improved DCT feature and text tracking. In Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007 (pp. 1178-1182). Article 4377101 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2). https://doi.org/10.1109/ICDAR.2007.4377101

@inproceedings{cf77961c29274895b45e41f38a1f3718,

title = "Autonomous text capturing robot using improved DCT feature and text tracking",

abstract = "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.",

author = "Makoto Tanaka and Hideaki Goto",

year = "2007",

doi = "10.1109/ICDAR.2007.4377101",

language = "English",

isbn = "0769528228",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

pages = "1178--1182",

booktitle = "Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007",

note = "9th International Conference on Document Analysis and Recognition, ICDAR 2007 ; Conference date: 23-09-2007 Through 26-09-2007",

}

Tanaka, M & Goto, H 2007, Autonomous text capturing robot using improved DCT feature and text tracking. in Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007., 4377101, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2, pp. 1178-1182, 9th International Conference on Document Analysis and Recognition, ICDAR 2007, Curitiba, Brazil, 07/9/23. https://doi.org/10.1109/ICDAR.2007.4377101

Autonomous text capturing robot using improved DCT feature and text tracking. / Tanaka, Makoto; Goto, Hideaki.
Proceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007. 2007. p. 1178-1182 4377101 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Autonomous text capturing robot using improved DCT feature and text tracking

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