{"created":"2023-07-27T06:24:39.231240+00:00","id":7648,"links":{},"metadata":{"_buckets":{"deposit":"06d51685-b0d6-4e7b-b064-3c982895ef6a"},"_deposit":{"created_by":3,"id":"7648","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7648"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00007648","sets":["934:935:936"]},"author_link":["10268","10269","10267"],"item_4_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1997-01-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"780","bibliographicPageStart":"775","bibliographicVolumeNumber":"ITSC","bibliographic_titles":[{"bibliographic_title":"IEEE Conference on Intelligent Transportation Systems, Proceedings"}]}]},"item_4_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we take aim at a flexible and active vehicle following system. To realize the system, we use a license plate instead of the devices that receive and send signals. In order to gather information from a license plate, we propose three method, one method is that continuously tracks a license plate, another is that extracts the characters under conditions of changeable and uneven illumination, and the third is that calibrates the difference between the reference template image and the image selected by correlation. From these characters in a license plate, we can determine the relative distance and angle. The effectiveness of this system is shown by the experimental results.","subitem_description_type":"Abstract"}]},"item_4_description_5":{"attribute_name":"提供者所属","attribute_value_mlt":[{"subitem_description":"金沢大学工学部","subitem_description_type":"Other"}]},"item_4_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_4_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/itsc.1997.660572","subitem_relation_type_select":"DOI"}}]},"item_4_version_type_25":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Soo, Kweon"}],"nameIdentifiers":[{"nameIdentifier":"10267","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Bao, Yue"}],"nameIdentifiers":[{"nameIdentifier":"10268","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Fujiwara, Naofumi"}],"nameIdentifiers":[{"nameIdentifier":"10269","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-03"}],"displaytype":"detail","filename":"TE-PR-FUJIWARA-N-IEEE2.pdf","filesize":[{"value":"340.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"TE-PR-FUJIWARA-N-IEEE2.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/7648/files/TE-PR-FUJIWARA-N-IEEE2.pdf"},"version_id":"031466c1-4c24-4542-b1b9-d53c5d9a79d7"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Motion estimation from sequential image using correlation","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Motion estimation from sequential image using correlation"}]},"item_type_id":"4","owner":"3","path":["936"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-10-03"},"publish_date":"2017-10-03","publish_status":"0","recid":"7648","relation_version_is_last":true,"title":["Motion estimation from sequential image using correlation"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2024-06-20T06:24:41.887466+00:00"}