{"updated":"2025-01-20T10:30:08.435860+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00165241","sets":["6504:8291:8763"]},"path":["8763"],"owner":"6748","recid":"165241","title":["モーションセンサを用いた自転車の違反運転検知システムの基礎検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-03-17"},"_buckets":{"deposit":"a37e1c28-0fce-4d3d-8e84-de01c9552eb7"},"_deposit":{"id":"165241","pid":{"type":"depid","value":"165241","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"モーションセンサを用いた自転車の違反運転検知システムの基礎検討","author_link":["326702","326700","326701"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"モーションセンサを用いた自転車の違反運転検知システムの基礎検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2015-03-17","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":"はこだて未来大"},{"subitem_text_value":"はこだて未来大"},{"subitem_text_value":"はこだて未来大"}]},"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/165241/files/IPSJ-Z77-6ZE-06.pdf","label":"IPSJ-Z77-6ZE-06.pdf"},"date":[{"dateType":"Available","dateValue":"2016-06-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z77-6ZE-06.pdf","filesize":[{"value":"343.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"5a7cea05-996b-43b6-94f4-34fdaecb63f5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大井, 将徳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高橋, 修"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中村, 嘉隆"}],"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":"近年,自転車が関与する事故が問題視されており,交通事故に遭った自転車運転者の多くが違反運転中に事故に遭っている.本研究ではモーションセンサを用いた自転車違反運転検知システムを提案する.モーションセンサはKinectを用い,スケルトン・トラッキングと深度情報によって違反運転の検出及び違反運転の種類の判別を行う.検出する違反運転の種類は二人乗り,自転車スマホ,傘さし運転,手放し運転,路側帯での右側走行とする.本研究は基礎実験として,屋内かつ障害物のない環境下で Kinect が検出可能な自転車の速度の調査と Kinect の配置場所による違反運転検出精度の評価を行い,それらから得られたKinectの最適な配置場所でシステム評価を行う.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"910","bibliographic_titles":[{"bibliographic_title":"第77回全国大会講演論文集"}],"bibliographicPageStart":"909","bibliographicIssueDates":{"bibliographicIssueDate":"2015-03-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2015"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T00:36:58.650675+00:00","id":165241,"links":{}}