{"created":"2025-01-19T01:15:41.705715+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214903","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"214903","title":["ドメイン適応を用いた動作認識のための合成動画像の活用の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"45035b8f-8226-450b-a6b4-2f888e587a1d"},"_deposit":{"id":"214903","pid":{"type":"depid","value":"214903","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ドメイン適応を用いた動作認識のための合成動画像の活用の検討","author_link":["553074","553071","553073","553072"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ドメイン適応を用いた動作認識のための合成動画像の活用の検討"}]},"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":"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":"お茶の水女子大"},{"subitem_text_value":"NII"},{"subitem_text_value":"産総研"},{"subitem_text_value":"お茶の水女子大"}]},"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/214903/files/IPSJ-Z83-5N-02.pdf","label":"IPSJ-Z83-5N-02.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5N-02.pdf","filesize":[{"value":"248.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"39b6624a-16d6-44ef-abf2-8c6dce381db4","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":"礒井, 葉那"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹房, あつ子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中田, 秀基"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小口, 正人"}],"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":"近年ディープニューラルネットワーク (DNN) により動画像から人間の行動を分析することが可能になり, 一般家庭で老人や子供の見守りなどに応用することが期待されている. しかし, 室内における人間の行動解析のためのデータセットは現状不十分であり, またそのようなデータセットを現実の動画像で作成するには多大な手間やコスト・プライバシといった課題がある. そこで我々は，合成データを学習に用いることに着目し, Unity を用いて合成動画像データの作成を行った. さらに, 作成したデータを用いた実データ解析実験により, ドメイン適応による実データ解析への合成データの活用の可能性について調査した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"198","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"197","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214903,"updated":"2025-01-19T16:24:49.891145+00:00","links":{}}