{"created":"2025-01-19T01:29:20.968489+00:00","updated":"2025-01-19T11:22:07.721711+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229906","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"229906","title":["オートエンコーダーの混合モデルを用いた魚群追跡"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"63ea428a-8ad6-4192-b4ca-e5a748941164"},"_deposit":{"id":"229906","pid":{"type":"depid","value":"229906","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"オートエンコーダーの混合モデルを用いた魚群追跡","author_link":["618472","618474","618471","618473"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"オートエンコーダーの混合モデルを用いた魚群追跡"}]},"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":"2023-02-16","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":"兵庫県大"},{"subitem_text_value":"筑波大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"兵庫県大"}]},"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/229906/files/IPSJ-Z85-4Q-01.pdf","label":"IPSJ-Z85-4Q-01.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4Q-01.pdf","filesize":[{"value":"414.2 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"4585de79-419f-4620-b732-f15de54e0d22","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"芝山, 高翔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"新里, 高行"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"波部, 斉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川嶋, 宏彰"}],"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":"生物の複数個体追跡において，個体の識別番号 (ID) の入れ替わりがしばしば発生する．これは複数個体が重なることでの検出エラーが主な原因である．個体追跡結果を基に生物の行動分析を行う場合，IDの入れ替わりはノイズになるため望ましくない．本研究では水槽内の魚群の追跡を行うにあたり，個体の見た目の類似性が非常に高いという問題設定の下で追跡精度を向上させるために，各々が単一個体を生成できるようなオートエンコーダーの混合モデルを用いて，重なった個体を分離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":"216","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"215","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229906,"links":{}}