{"updated":"2025-01-19T09:05:09.670418+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236878","sets":["6504:11678:11684"]},"path":["11684"],"owner":"44499","recid":"236878","title":["アンサンブル学習と検出矩形の除去・集約による魚影検出の精度向上"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"e329b2d9-2145-4d37-99fa-95ec916a8f78"},"_deposit":{"id":"236878","pid":{"type":"depid","value":"236878","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"アンサンブル学習と検出矩形の除去・集約による魚影検出の精度向上","author_link":["647670","647668","647671","647669"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"アンサンブル学習と検出矩形の除去・集約による魚影検出の精度向上"}]},"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":"2024-03-01","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":"愛媛大"},{"subitem_text_value":"愛媛大"},{"subitem_text_value":"愛媛大"},{"subitem_text_value":"愛媛大"}]},"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/236878/files/IPSJ-Z86-1ZH-04.pdf","label":"IPSJ-Z86-1ZH-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-1ZH-04.pdf","filesize":[{"value":"361.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"faeff2f6-7fcc-47e4-b84d-a3f32f5316f1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"ディアス, 海斗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"遠藤, 慶一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"黒田, 久泰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 真也"}],"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":"持続可能な食料調達は重要であり，養殖漁業がその1つである．養殖漁業では魚病の発生や正確な尾数管理をするのが困難という課題があり，現状手法よりも正確かつ容易に養殖魚群の状態を管理できる手法が求められている．我々は，遊魚の三次元座標を算出する遊魚三次元位置測定システムの開発に取り組んでおり，その土台では，高精度な魚影検出が必要不可欠である．本研究では，魚影の検出精度を高めるために，複数の検出モデルを用いた際の，検出矩形の除去・集約アルゴリズムを含めた，アンサンブル学習のシステム開発をしており，定量的評価を行った．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"540","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"539","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236878,"created":"2025-01-19T01:39:11.291103+00:00"}