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- Zin Thi Thi
- Graduate School of Engineering,Osaka City University
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- Koh Sung Shik
- Samsung Techwin Co.,Ltd.
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- Hama Hiromitsu
- Graduate School of Engineering,Osaka City University
書誌事項
- タイトル別名
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- Robust Signboard Recognition for Vision-based Navigation
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抄録
We propose a framework that enables vision-based navigation systems to more robustly recognize signboards.It is designed mainly for signboards with uniform color regions,which can be strongly affected by occlusion and reflection.The framework comprises two stages:preprocessing for extracting uniform color regions and recognizing them.In the first stage,the cumulative frequency,morphology gradient,and Mahalanobis distance are used for the extraction.In the second stage,a new matching method for identifying templates and a new relative method for verifying colors are used.Testing of a system using this framework and 300 images taken under various conditions showed a recognition rate of 98%,demonstrating the framework's powerful ability to recognize signboards.
収録刊行物
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- 映像情報メディア学会誌
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映像情報メディア学会誌 61 (8), 1192-1200, 2007
一般社団法人 映像情報メディア学会
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詳細情報 詳細情報について
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- CRID
- 1390282680075732864
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- NII論文ID
- 110006854864
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- NII書誌ID
- AN10588970
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- ISSN
- 18816908
- 13426907
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- NDL書誌ID
- 8912587
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
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- 使用不可