ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "fd4b4a67-6b3d-456f-aaad-7046c74354f8"}, "_deposit": {"id": "8659", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "8659"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00008659", "sets": ["1038"]}, "author_link": ["24360", "24361", "24362", "24363", "24364"], "item_18_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2006-12", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "106", "bibliographicPageStart": "105", "bibliographic_titles": [{"bibliographic_title": "4th Symposium on \"Intelligent Media Integration for Social Information Infrastructure\" December 7-8, 2006", "bibliographic_titleLang": "en"}]}]}, "item_18_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "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.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_18_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/10409"}]}, "item_18_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "INTELLIGENT MEDIA INTEGRATION  NAGOYA UNIVERSITY / COE", "subitem_publisher_language": "en"}]}, "item_18_select_15": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_18_text_14": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Ishida, Hiroyuki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24360", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Takahashi, Tomokazu", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24361", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Ide, Ichiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24362", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Mekada, Yoshito", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24363", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Murase, Hiroshi", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "24364", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "4TH_p105-106.pdf", "filesize": [{"value": "126.0 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 126000.0, "url": {"label": "4TH_p105-106.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/8659/files/4TH_p105-106.pdf"}, "version_id": "399a4717-b655-4a5d-9e0b-5b200f3ed907"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "conference paper", "resourceuri": "http://purl.org/coar/resource_type/c_5794"}]}, "item_title": "RECOGNITION OF TRAFFIC SIGN SYMBOLS BY A GENERATIVE LEARNING METHOD", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "RECOGNITION OF TRAFFIC SIGN SYMBOLS BY A GENERATIVE LEARNING METHOD", "subitem_title_language": "en"}]}, "item_type_id": "18", "owner": "1", "path": ["1038"], "permalink_uri": "http://hdl.handle.net/2237/10409", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2008-08-20"}, "publish_date": "2008-08-20", "publish_status": "0", "recid": "8659", "relation": {}, "relation_version_is_last": true, "title": ["RECOGNITION OF TRAFFIC SIGN SYMBOLS BY A GENERATIVE LEARNING METHOD"], "weko_shared_id": -1}
  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500g COE
  3. 社会情報基盤のための音声映像の知的統合

RECOGNITION OF TRAFFIC SIGN SYMBOLS BY A GENERATIVE LEARNING METHOD

http://hdl.handle.net/2237/10409
http://hdl.handle.net/2237/10409
ac4f1f1f-5d20-44d6-9033-d4867c984624
名前 / ファイル ライセンス アクション
4TH_p105-106.pdf 4TH_p105-106.pdf (126.0 kB)
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

WEKO 24360

en Ishida, Hiroyuki

Search repository
Takahashi, Tomokazu

× Takahashi, Tomokazu

WEKO 24361

en Takahashi, Tomokazu

Search repository
Ide, Ichiro

× Ide, Ichiro

WEKO 24362

en Ide, Ichiro

Search repository
Mekada, Yoshito

× Mekada, Yoshito

WEKO 24363

en Mekada, Yoshito

Search repository
Murase, Hiroshi

× Murase, Hiroshi

WEKO 24364

en Murase, Hiroshi

Search repository
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
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
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 19:55:43.847568
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3