{"created":"2025-04-28T02:29:35.185866+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02001842","sets":["1164:4619:11919:1744767391283"]},"path":["1744767391283"],"owner":"80578","recid":"2001842","title":["映像を用いたマウスの単眼3次元骨格姿勢推定"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-05-08"},"_buckets":{"deposit":"b2393e2c-3ab5-4d78-ab35-8e9da16fcf7a"},"_deposit":{"id":"2001842","pid":{"type":"depid","value":"2001842","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"映像を用いたマウスの単眼3次元骨格姿勢推定","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"映像を用いたマウスの単眼3次元骨格姿勢推定","subitem_title_language":"ja"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"CVIM","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-05-08","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都工芸繊維大学"},{"subitem_text_value":"京都工芸繊維大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kyoto Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Kyoto Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/2001842/files/IPSJ-CVIM25242011.pdf","label":"IPSJ-CVIM25242011.pdf"},"date":[{"dateType":"Available","dateValue":"2027-05-08"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM25242011.pdf","filesize":[{"value":"1.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5ab496a6-123c-4807-a7fc-c684e323947a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山口,知城"}]},{"creatorNames":[{"creatorName":"延原,章平"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，単眼カメラ映像からマウスの3次元骨格姿勢を推定する手法を提案する．従来，多視点カメラを必要とした非接触・非拘束な運動計測を単一カメラで実現し，設置の容易さや低コスト化を可能にする．提案手法では，深層学習により各時刻独立に3次元骨格姿勢を推定し，P3P法で顔の3次元位置・姿勢を補正，非線形最適化により時間的・空間的制約を考慮した姿勢修正を行う．評価実験では，平均誤差2.947mmの精度を達成したが，P3P法の推定精度が課題として残った．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-05-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2025-CVIM-242"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"id":2001842,"updated":"2025-04-28T02:29:39.156999+00:00","links":{}}