{"created":"2025-01-19T01:15:38.282538+00:00","updated":"2025-01-19T16:26:28.442099+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214843","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"214843","title":["建設現場の人物認識のためのYOLOの特性分析に関する研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"08fb347d-1f1f-415e-ba00-ef539c53c81c"},"_deposit":{"id":"214843","pid":{"type":"depid","value":"214843","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"建設現場の人物認識のためのYOLOの特性分析に関する研究","author_link":["552879","552877","552878","552876","552881","552882","552880"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"建設現場の人物認識のためのYOLOの特性分析に関する研究"}]},"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":"2021-03-04","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":"関西大"},{"subitem_text_value":"阪経大"},{"subitem_text_value":"関西大"},{"subitem_text_value":"関西大"},{"subitem_text_value":"法大"},{"subitem_text_value":"琉球大"},{"subitem_text_value":"関西大"}]},"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/214843/files/IPSJ-Z83-1M-06.pdf","label":"IPSJ-Z83-1M-06.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-1M-06.pdf","filesize":[{"value":"319.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"83f59972-be43-4cf9-8f19-247643e4255e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"丹野, 豪"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"井上, 晴可"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梅原, 喜政"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 成典"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"今井, 龍一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"神谷, 大介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中畑, 光貴"}],"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，建設現場において事故が多発していることより，情報技術を用いた安全管理の高度化が求められている．例えば，作業員の行動を把握して，潜在的な危険を顕在化するヒヤリハットの検知技術により事故を未然に防ぐことができる．その根幹を担う技術として人物の位置を特定する技術が必要である．既存研究では，深層学習を用いてカメラ映像から人物を抽出する手法が提案されている．しかし，深層学習は，その出力結果に至った根拠を説明できないことから，ブラックボックスとされており，誤認識要因の分析が困難である．そこで，本研究では，YOLOを対象として，ブラックボックスである人物認識時の判断根拠を明らかにする手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"74","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"73","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214843,"links":{}}