{"created":"2025-01-19T01:38:07.846813+00:00","updated":"2025-01-19T09:21:06.113138+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236206","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236206","title":["ホモグラフィ変換に基づくホームベースの大きさ情報を活用したストライクゾーン取得精度の向上"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"06ed51e5-b1d4-47af-a419-750ff44a4a89"},"_deposit":{"id":"236206","pid":{"type":"depid","value":"236206","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ホモグラフィ変換に基づくホームベースの大きさ情報を活用したストライクゾーン取得精度の向上","author_link":["645618","645619","645617"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ホモグラフィ変換に基づくホームベースの大きさ情報を活用したストライクゾーン取得精度の向上"}]},"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":"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":"早大"},{"subitem_text_value":"早大"},{"subitem_text_value":"早大"}]},"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/236206/files/IPSJ-Z86-7U-02.pdf","label":"IPSJ-Z86-7U-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-7U-02.pdf","filesize":[{"value":"350.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"abf15577-6a94-4769-9e12-f1869bb10c21","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":"福田, 大翔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"杉山, 秀治"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 裕"}],"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、スポーツ分野で機械判定の導入が進んでいる。野球でもABSの導入が検討されており、簡易的なボールストライク判定システムも注目されている。ただし、ストライクゾーンの取得は三次元姿勢推定の精度に依存しており、スケール推定に課題がある。本論文では、判定時に利用するストライクゾーンの取得精度を向上させる手法を提案する。ホームベースと打者の両足が同一平面上にあることと、ホームベースに関する既知情報を活用し、ホモグラフィ変換を適用する。そして、打者の両足間の距離から再スケール化パラメータを算出し、ストライクゾーンを補正する。従来に比べ、提案手法がストライクゾーンの取得における誤差を半減させることを示した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"746","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"745","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236206,"links":{}}