{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00180957","sets":["6504:9168:9182"]},"path":["9182"],"owner":"6748","recid":"180957","title":["畳み込みニューラルネットワークの特徴マップ選択によるトラッキング"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-03-16"},"_buckets":{"deposit":"d4930e5e-da65-416e-9041-007f1144beea"},"_deposit":{"id":"180957","pid":{"type":"depid","value":"180957","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"畳み込みニューラルネットワークの特徴マップ選択によるトラッキング","author_link":["391412","391413"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"畳み込みニューラルネットワークの特徴マップ選択によるトラッキング"}]},"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":"2017-03-16","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":"名大"},{"subitem_text_value":"名大"}]},"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/180957/files/IPSJ-Z79-1P-08.pdf","label":"IPSJ-Z79-1P-08.pdf"},"date":[{"dateType":"Available","dateValue":"2017-05-22"}],"format":"application/pdf","filename":"IPSJ-Z79-1P-08.pdf","filesize":[{"value":"271.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"4e632f6f-eac5-40d2-a668-94a0f8e57d9b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山田, 真生"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"渡辺, 崇"}],"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":"畳み込みニューラルネットワーク (CNN) は一般物体認識において高い認識精度を達成しており，こうした CNN の中間層から得られる特徴量はコンピュータビジョンにおける様々な問題に応用できることが知られている．本研究では，一般物体認識のデータセットで学習済みの CNN を利用したトラッキングの手法を検討する．既存のトラッキング手法はオフライン学習やオンライン学習を行うために多くの計算量を必要としていたが，提案するモデルは学習が不要であり，追跡時にはトラッキングに有効な特徴マップをその活性に基づいて選択することで高速なトラッキング手法を実現した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"386","bibliographic_titles":[{"bibliographic_title":"第79回全国大会講演論文集"}],"bibliographicPageStart":"385","bibliographicIssueDates":{"bibliographicIssueDate":"2017-03-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2017"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":180957,"updated":"2025-01-20T04:42:19.263145+00:00","links":{},"created":"2025-01-19T00:48:45.220349+00:00"}