{"created":"2025-01-19T01:29:25.423097+00:00","updated":"2025-01-19T11:20:56.326219+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229954","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"229954","title":["レーダーチャートを用いた歩行者認識アルゴリズムの性能比較方法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"299616b3-45d5-40f8-8c48-60063ff27d27"},"_deposit":{"id":"229954","pid":{"type":"depid","value":"229954","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"レーダーチャートを用いた歩行者認識アルゴリズムの性能比較方法","author_link":["618634","618635","618633","618632"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"レーダーチャートを用いた歩行者認識アルゴリズムの性能比較方法"}]},"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":"金沢工大"},{"subitem_text_value":"金沢工大"},{"subitem_text_value":"金沢工大"},{"subitem_text_value":"金沢工大"}]},"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/229954/files/IPSJ-Z85-2R-08.pdf","label":"IPSJ-Z85-2R-08.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-2R-08.pdf","filesize":[{"value":"441.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d54d37b9-b6e3-4c76-8082-fab6a902b34d","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":"長谷川, 竜太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"成川, 勇次"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 允成"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金道, 敏樹"}],"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、画像認識技術の性能向上は目覚ましく、応用先も自動運転などかつてない分野にまで急速に広がっている。一方、認識性能の評価方法はLOC曲線による包括的なものからあまり変わっていないように見える。利用する分野が広がった今、全ての利用者が常に包括的な高性能を必要としている訳ではない。むしろ、限定的な撮影条件下のいくつかのシーンで高い認識性能が必要であるが、しかしそれだけで十分である場合が増えつつあると考えられる。我々は、歩行者認識を例題に、複数の連続画像の認識限界点を特定し、その限界点をレーダーチャートで表現する性能評価方法を、複数の認識技術視覚的に比較できる利用者が使い易いものとして提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"314","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"313","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229954,"links":{}}