{"id":205240,"updated":"2025-01-19T19:52:48.323996+00:00","links":{},"created":"2025-01-19T01:07:24.412927+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00205240","sets":["6504:10247:10254"]},"path":["10254"],"owner":"6748","recid":"205240","title":["機械学習向け生活空間動画像データセット構築の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-02-20"},"_buckets":{"deposit":"028f5071-4026-4d7e-a2ee-a96a34fc0b84"},"_deposit":{"id":"205240","pid":{"type":"depid","value":"205240","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"機械学習向け生活空間動画像データセット構築の検討","author_link":["509174","509171","509173","509172"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習向け生活空間動画像データセット構築の検討"}]},"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":"2020-02-20","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/205240/files/IPSJ-Z82-1R-02.pdf","label":"IPSJ-Z82-1R-02.pdf"},"date":[{"dateType":"Available","dateValue":"2020-06-19"}],"format":"application/pdf","filename":"IPSJ-Z82-1R-02.pdf","filesize":[{"value":"601.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"2f1a7e95-962a-42db-ba76-b791867b2ef4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 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":"本研究では生活空間における人の行動解析のための機械学習向け動画像データセット構築を目指す。近年、深層学習を用いた人の行動解析の研究への期待が高まっているが、現状、生活空間における人間の行動解析のための大規模でオープンなデータセットが存在しない。そこで、ゲームエンジン Unity を用いた大規模な動画像データセット構築について検討する。Unity で作成することにより、大規模なデータセット作成の実現が容易になり、また学習データが特定の個人と紐づかないという利点がある。さらに、動画像を作成する際、ノイズ・手ブレの付与や、照明の当て方に変化をつけることで、実写データとの差異を減らすことを図る。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"244","bibliographic_titles":[{"bibliographic_title":"第82回全国大会講演論文集"}],"bibliographicPageStart":"243","bibliographicIssueDates":{"bibliographicIssueDate":"2020-02-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}