{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00197390","sets":["6504:9795:9797"]},"path":["9797"],"owner":"6748","recid":"197390","title":["魚の位置姿勢変化モデルを用いた魚群映像中の個体追跡"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"e3e7ce54-286f-45fc-8875-f2686f34ac9f"},"_deposit":{"id":"197390","pid":{"type":"depid","value":"197390","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"魚の位置姿勢変化モデルを用いた魚群映像中の個体追跡","author_link":["473410","473409","473411","473412"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"魚の位置姿勢変化モデルを用いた魚群映像中の個体追跡"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","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":"近畿大"},{"subitem_text_value":"近畿大"},{"subitem_text_value":"理研／京大"},{"subitem_text_value":"近畿大"}]},"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/197390/files/IPSJ-Z81-4ZH-02.pdf","label":"IPSJ-Z81-4ZH-02.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-4ZH-02.pdf","filesize":[{"value":"983.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f5d11b6f-4ede-45fe-8763-3530be281976","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"竹内, よしき"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"本郷, 昴貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺山, 慧"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"波部, 斉"}],"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":"魚群中の魚同士のコミュニケーションには解明されていないことが存在する．魚の動きの獲得はそのメカニズムの解明の第一歩となる．魚群の個々の魚の動きを目視によって観測することは作業時間が膨大となり現実的ではないため，以前から映像などを用いて自動的に動きを獲得する試みが行われている．しかし大規模魚群を構成する魚の動きを映像から獲得する際，魚同士の重なりの多発により追跡精度が低下し，追跡に失敗することが多い．本研究では，魚の遊泳時の姿勢変化を表現するモデルを導入し，パーティクルフィルタを用いて魚同士の重なりに頑健な追跡を行う手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"714","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"713","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":197390,"updated":"2025-01-19T22:21:52.692049+00:00","links":{},"created":"2025-01-19T01:01:51.136283+00:00"}