{"links":{},"id":222340,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00222340","sets":["1164:3206:10884:11060"]},"path":["11060"],"owner":"44499","recid":"222340","title":["多数のカメラを活用した空間認識処理に関する研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-11-11"},"_buckets":{"deposit":"7f21384d-b011-4f40-a274-b37afe13ca4e"},"_deposit":{"id":"222340","pid":{"type":"depid","value":"222340","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"多数のカメラを活用した空間認識処理に関する研究","author_link":["583197","583198","583200","583199","583202","583201"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"多数のカメラを活用した空間認識処理に関する研究"},{"subitem_title":"Spatial Recognition by using Surrounding Observation Cameras","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2022-11-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学"},{"subitem_text_value":"産業技術総合研究所"},{"subitem_text_value":"東京大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","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/222340/files/IPSJ-CG22188021.pdf","label":"IPSJ-CG22188021.pdf"},"date":[{"dateType":"Available","dateValue":"2024-11-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CG22188021.pdf","filesize":[{"value":"19.8 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":"28"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8a60115b-d40e-4f2c-8050-32cadf2c27f0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"神村, 涼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"池上, 努"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"工藤, 知宏"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryo, Kamimura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tsutomu, Ikegami","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomohiro, Kudoh","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10100541","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":"2188-8949","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"同一領域を複数のカメラで同時撮影し，それらのデータを統合することで空間の三次元的な構成要素を特定する手法について報告する．エッジデバイス自身で一次解析処理を行うスマートカメラを用いることで，撮影画像の集約を避け，通信量の削減とプライバシー保護の両面を実現する．撮影した画像を個々のカメラ上で CNN を用いた物体検出手法である YOLO により処理し，得られた画像解析情報をサーバに送信する．サーバ側ではこれらの情報とカメラの三次元位置情報から，領域に存在するオブジェクトの種類と位置を再構成する．3 台のカメラの情報を用いることで，2 台の情報では確定できない複雑なシーンであっても一意的な再構成が可能であることを示した．","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グラフィックスとビジュアル情報学（CG）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-11-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"21","bibliographicVolumeNumber":"2022-CG-188"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:22:17.985896+00:00","updated":"2025-01-19T13:46:59.163545+00:00"}