{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00225956","sets":["1164:4619:11188:11274"]},"path":["11274"],"owner":"44499","recid":"225956","title":["固定車外視点からの車窓内光景の推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-05-11"},"_buckets":{"deposit":"3336e6bf-97f6-481d-905d-baf450e45cba"},"_deposit":{"id":"225956","pid":{"type":"depid","value":"225956","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"固定車外視点からの車窓内光景の推定","author_link":["599120","599119","599121"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"固定車外視点からの車窓内光景の推定"}]},"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":"2023-05-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"京都大学大学院情報学研究科"},{"subitem_text_value":"京都大学大学院情報学研究科"}]},"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/225956/files/IPSJ-CVIM23234012.pdf","label":"IPSJ-CVIM23234012.pdf"},"date":[{"dateType":"Available","dateValue":"2025-05-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM23234012.pdf","filesize":[{"value":"8.5 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":"46c1d94e-c57b-4e5b-b710-26af2815bffd","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田村, 駿弥"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"延原, 章平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西野, 恒"}],"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":"走行中の車の運転者などの様子を外から確認することは，交通事故の防止や安全運転のための意思疎通に必要不可欠である．自動運転や先進運転支援システムにおいてもカメラを用いて対向車等の車内の様子を自動的に理解する必要がある．しかし，車の窓ガラスには周囲環境由来の反射が強く現れるため，車内の光景を明瞭に捉えることは難しい．そこで本研究では，RGB カメラのみを用いて適用できる簡便な撮影手法によって，走行中の車のフロントガラスにおける反射成分分離を実現する．車の外に固定したカメラで撮影した走行している車の動画から，そのフロントガラスの表面に写り込む周囲の環境光による反射成分を除去して，車内の光景，特に車内の人の様子を明瞭に復元できる手法を導出する．合成動画および実動画を用いて提案手法の有効性を示す．本手法は自動並びに手動運転において周囲環境のより深い理解に資すると期待できる．","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":"2023-05-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"2023-CVIM-234"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:25:26.898781+00:00","updated":"2025-01-19T12:37:50.985232+00:00","id":225956}