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RECOGNITION OF TRAFFIC SIGN SYMBOLS BY A GENERATIVE LEARNING METHOD
http://hdl.handle.net/2237/10409
http://hdl.handle.net/2237/10409ac4f1f1f-5d20-44d6-9033-d4867c984624
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
4TH_p105-106.pdf (126.0 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2008-08-20 | |||||
| タイトル | ||||||
| タイトル | RECOGNITION OF TRAFFIC SIGN SYMBOLS BY A GENERATIVE LEARNING METHOD | |||||
| 言語 | en | |||||
| 著者 |
Ishida, Hiroyuki
× Ishida, Hiroyuki× Takahashi, Tomokazu× Ide, Ichiro× Mekada, Yoshito× Murase, Hiroshi |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 抄録 | ||||||
| 内容記述 | We present a novel training method for recognizing traffic sign symbols. The symbol images captured by a car-mounted camera suffer from various forms of image degradation. To cope with degradations, similarly degraded images should be used as training data. Our method artificially generates such training data from original templates of traffic sign symbols. Experimental results show the effectiveness of the proposed method for traffic sign symbol recognition. | |||||
| 言語 | en | |||||
| 内容記述タイプ | Abstract | |||||
| 出版者 | ||||||
| 言語 | en | |||||
| 出版者 | INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源 | http://purl.org/coar/resource_type/c_5794 | |||||
| タイプ | conference paper | |||||
| 書誌情報 |
en : 4th Symposium on "Intelligent Media Integration for Social Information Infrastructure" December 7-8, 2006 p. 105-106, 発行日 2006-12 |
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| フォーマット | ||||||
| application/pdf | ||||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/10409 | |||||
| 識別子タイプ | HDL | |||||
