{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00220862","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"220862","title":["GANを用いた動画像上のヒトとモノの除去に関する研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"d92db57d-3cd7-4478-9cb3-fa981f0085aa"},"_deposit":{"id":"220862","pid":{"type":"depid","value":"220862","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"GANを用いた動画像上のヒトとモノの除去に関する研究","author_link":["577942","577944","577946","577943","577945"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"GANを用いた動画像上のヒトとモノの除去に関する研究"}]},"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":"2022-02-17","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":"関西大"},{"subitem_text_value":"関西大"},{"subitem_text_value":"大阪電通大"},{"subitem_text_value":"関西大"},{"subitem_text_value":"関西大"}]},"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/220862/files/IPSJ-Z84-4Q-07.pdf","label":"IPSJ-Z84-4Q-07.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-4Q-07.pdf","filesize":[{"value":"407.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"a354deef-2180-4be6-87a4-00ad70c98478","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大平, 将也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"梅原, 喜政"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中原, 匡哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"窪田, 諭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 成典"}],"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":"国土交通省は，i-Constructionを契機に建設現場の生産性向上を目指し，点群データの活用を推進している．従来の点群データの計測手段としては，地上設置型レーザスキャナやMMSがあるが，計測機器が高額であり導入コストが高く，活用できる現場が限定的である．そのため，安価なビデオカメラによる動画像から点群データを生成できるVisual SLAMが注目されている．しかし，動画像内にヒトやモノの動体が映り込むと，異なるフレーム間で特徴点の位置が一致せず，正確な点群データを得ることができない．そこで，本研究では，動画像内の動体を除去した後，GANを用いて除去領域を背景補完することで，動体が存在する環境下においても正確な点群データを生成する手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"230","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"229","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:20:53.148721+00:00","updated":"2025-01-19T14:23:44.272020+00:00","id":220862}