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Proceedings Paper

DTB Net: A text detector in a football match scene
Author(s): Xue Li; Shaobin Li
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Paper Abstract

The text detection of football match scenes is an important step in text recognition. Due to the complex background of the football scenes, the arbitrary orientation of the target position, the different aspect ratios of the texts, small targets and so on. Therefore, text detection in football scenes is also a challenging problem. The text detection network TextBoxes has been improved to produce a text detector in the football scene, named DTB Net, which can detect texts with different aspect ratios and small target texts in the football scenes. Through experimental comparison, DTB Net has higher precision and recall rate in the text detection of football matches, which lays a foundation for the recognition of texts in football scenes.

Paper Details

Date Published: 29 October 2018
PDF: 5 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083613 (29 October 2018); doi: 10.1117/12.2513848
Show Author Affiliations
Xue Li, Communication Univ. of China (China)
Shaobin Li, Communication Univ. of China (China)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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