Presentation 2013-02-19
Super-Resolution Specializing in Recognition of Road Assistance Signs
Kazuhiro HIRANO, Gou KOUTAKI, Keiichi UCHIMURA, Daiki HIDAKA,
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Abstract(in English) Among information which car navigation systems process, road signs are important for drivers to drive safely. The methods about recognition of road signs have been invented. However, if we couldn't get enough frames to raise the recognition rate, their method would fail. In this paper, we proposed a new Learning Based Super-Resolution(LBSR) specializing in recognition of road assistance signs. We compare proposal LBSR's resolution enhancement and processing time with conventional LBSR's, and we show efficiency of proposal LBSR.
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Keyword(in English) road sign / recognition / Super-Resolution
Paper # ITS2012-48,IE2012-128
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Committee IE
Conference Date 2013/2/11(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Super-Resolution Specializing in Recognition of Road Assistance Signs
Sub Title (in English)
Keyword(1) road sign
Keyword(2) recognition
Keyword(3) Super-Resolution
1st Author's Name Kazuhiro HIRANO
1st Author's Affiliation Graduate School of Science and Technology, Kumamoto University()
2nd Author's Name Gou KOUTAKI
2nd Author's Affiliation Graduate School of Science and Technology, Kumamoto University
3rd Author's Name Keiichi UCHIMURA
3rd Author's Affiliation Graduate School of Science and Technology, Kumamoto University
4th Author's Name Daiki HIDAKA
4th Author's Affiliation Graduate School of Science and Technology, Kumamoto University
Date 2013-02-19
Paper # ITS2012-48,IE2012-128
Volume (vol) vol.112
Number (no) 434
Page pp.pp.-
#Pages 5
Date of Issue