{"created":"2025-01-19T01:37:37.367262+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235881","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235881","title":["YOLOを用いた熱赤外画像を対象とする車両と人物の検出および距離推定に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"efab3b80-1006-4008-b148-872d7f30c868"},"_deposit":{"id":"235881","pid":{"type":"depid","value":"235881","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"YOLOを用いた熱赤外画像を対象とする車両と人物の検出および距離推定に関する検討","author_link":["644598","644596","644595","644597"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"YOLOを用いた熱赤外画像を対象とする車両と人物の検出および距離推定に関する検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"秋田大"},{"subitem_text_value":"秋田大"},{"subitem_text_value":"秋田大"},{"subitem_text_value":"秋田大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/235881/files/IPSJ-Z86-4C-01.pdf","label":"IPSJ-Z86-4C-01.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-4C-01.pdf","filesize":[{"value":"292.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c3cc6652-4f6a-425e-88f9-b0c3c94f319a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"劉, 亜儒"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"景山, 陽一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"白井, 光"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石沢, 千佳子"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，日本における高齢者の人口が増加しており，全年齢層における夜間交通事故の高齢者の死者数が占める割合は依然として高い. 本研究グループはこれまでに，夜間の交通事故防止を目的とし，熱赤外画像と機械学習を用いた，リアルタイムの車両検出および人物動作認識に関する検討を行った．道路利用者の安全・安心を速やかに支援可能な技術を開発するためには，走行中の車両が安全に停止可能な距離を考慮する必要がある．しかしながら，現状では，検出した物体までの距離を推定するまでには至っていない．そこで本稿では，夜間の熱赤外データを新たに取得し，YOLOv8と距離推定手法を用いて，車両と人物の検出および距離推定に関する検討を行った．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"68","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"67","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235881,"updated":"2025-01-19T09:28:53.581221+00:00","links":{}}