{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00242160","sets":["1164:6757:11881:11882"]},"path":["11882"],"owner":"44499","recid":"242160","title":["全身画像特徴と背景画像特徴の統合による人物同定手法の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2025-01-16"},"_buckets":{"deposit":"71ca9c4e-ceb3-47e9-a9fa-5007cf06bcc9"},"_deposit":{"id":"242160","pid":{"type":"depid","value":"242160","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"全身画像特徴と背景画像特徴の統合による人物同定手法の検討","author_link":["668173","668177","668170","668176","668175","668172","668174","668169","668168","668171"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"全身画像特徴と背景画像特徴の統合による人物同定手法の検討"},{"subitem_title":"Integration of Body Features and Background Features for Person Re-Identification","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"AIと機械学習の応用","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2025-01-16","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"三菱電機株式会社"},{"subitem_text_value":"三菱電機株式会社"},{"subitem_text_value":"三菱電機株式会社"},{"subitem_text_value":"三菱電機株式会社"},{"subitem_text_value":"三菱電機株式会社"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Mitsubishi Electric Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Electric Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Electric Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Electric Corporation","subitem_text_language":"en"},{"subitem_text_value":"Mitsubishi Electric Corporation","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/242160/files/IPSJ-DCC25039001.pdf","label":"IPSJ-DCC25039001.pdf"},"date":[{"dateType":"Available","dateValue":"2027-01-16"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DCC25039001.pdf","filesize":[{"value":"2.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"50"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b29fff89-1f47-4475-ba1a-12cdfe4888e1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"福地, 賢"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"李, 庭育"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山﨑, 賢人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金井, 美岬"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岡原, 浩平"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ken, Fukuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Teng-Yok, Lee","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kento, Yamazaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Misaki, Kanai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kohei, Okahara","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628338","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8868","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"人物同定は，異なるカメラで撮影された同一人物を検索する重要な技術である．近年，深層学習を用いた手法が主流だが，特定の環境で学習されたモデルはドメイン依存性が高く，異なる環境下では精度が低下する．このため，実用化には導入環境での再学習が必要となり，コスト増大や個人情報保護の観点から課題となる．本論文では，このドメイン依存の一因として，人物画像の背景領域が影響している点に着目し，人物と背景の特徴量を考慮可能な 2 ストリームネットワークの構築を検討した．評価の結果，Rank-N 指標において提案手法の有効性を確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a two-stream network architecture that can consider both person and background features. Person re-identification (Re-ID) is crucial for identifying individuals across different cameras. Deep learning models are widely used, but their domain-specific nature leads to poor performance in new environments, requiring costly and privacy-sensitive retraining. We focus on the background regions affecting person images and study the training process. Evaluation using the Rank-N metric demonstrates the effectiveness of our proposed approach.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告デジタルコンテンツクリエーション（DCC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-01-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2025-DCC-39"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T07:25:27.369086+00:00","created":"2025-01-19T01:47:12.191358+00:00","links":{},"id":242160}