{"updated":"2025-01-19T09:52:59.627662+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234159","sets":["1164:4619:11539:11642"]},"path":["11642"],"owner":"44499","recid":"234159","title":["3次元視線推定を用いた防犯カメラ映像からの注視物体推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-05-08"},"_buckets":{"deposit":"a7cf0122-a6f3-4186-aad1-c38244a437e6"},"_deposit":{"id":"234159","pid":{"type":"depid","value":"234159","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"3次元視線推定を用いた防犯カメラ映像からの注視物体推定","author_link":["637548","637547"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"3次元視線推定を用いた防犯カメラ映像からの注視物体推定"},{"subitem_title":"Gazed Object Estimation from Surveillance Camera Footage Using 3D Gaze Estimation","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"卒論スポットライトセッション (CVIM)","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-05-08","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"近畿大学大学院総合理工学研究科"},{"subitem_text_value":"近畿大学情報学部／近畿大学情報学研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Engineering, Kindai University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Informatics, Kindai University / Cyber Informatics Research Institute, Kindai University","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/234159/files/IPSJ-CVIM24238028.pdf","label":"IPSJ-CVIM24238028.pdf"},"date":[{"dateType":"Available","dateValue":"2026-05-08"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM24238028.pdf","filesize":[{"value":"7.2 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":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a20730b3-5c22-4956-9e12-a6fe2ea9d3ed","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"平川, 颯人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"波部, 斉"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","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":"2188-8701","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"人物がどの物体を注視しているかという情報は，行動解析や行動予測など様々な分野で有用な情報である．推定手法としては，実世界の随所に設置されている一般的な防犯カメラから推定可能な手法，すなわち 1 台のカメラで撮影された RGB 映像から推定可能な手法が望ましい．そこで，本研究では 3 次元視線推定を用いた注視物体推定手法を提案する．提案手法では，キャリブレーション済みのカメラによって撮影された映像から人物の 3 次元頭部座標と 3 次元視線方向を推定し，周囲の物体の位置情報と組み合わせることで注視物体を推定する．周囲の物体の位置情報については予め用意する必要があるが，カメラの画角外の物体であっても注視物体候補として考慮することができる．実験の結果，十分な推定精度は得られなかったが，防犯カメラ映像を用いた注視物体推定の可能性が示唆された．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The information about which object a person is gazing at is valuable in various fields such as human behavior analysis and prediction. As for estimation methods, it is desirable to have a method that can be inferred from common surveillance cameras installed throughout the real world, namely, a method that can be inferred from RGB images captured by a single camera. Therefore, in this study, we propose a method for estimating gazed object using 3D gaze estimation. In our proposed method, we estimate a person's 3D head coordinates and 3D gaze direction from images captured by calibrated cameras, and estimate the gazed object by combining this information with the positional information of surrounding objects. While it is necessary to prepare the positional information of surrounding objects in advance, even objects outside the camera's field of view can be considered as gazed object candidates. Although the estimation accuracy was not sufficiently high, the potential of estimating gazed object using surveillance camera footage was suggested.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-05-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"28","bibliographicVolumeNumber":"2024-CVIM-238"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":234159,"created":"2025-01-19T01:35:50.173892+00:00"}