{"created":"2023-05-15T12:00:07.344865+00:00","id":6812,"links":{},"metadata":{"_buckets":{"deposit":"782017ee-fcde-4d52-853d-f584d49d57aa"},"_deposit":{"created_by":3,"id":"6812","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6812"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006812","sets":["8:24"]},"author_link":["28922","28923","399"],"control_number":"6812","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-12-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageEnd":"235","bibliographicPageStart":"231","bibliographicVolumeNumber":"7","bibliographic_titles":[{"bibliographic_title":"Journal of Robotics, Networking and Artificial Life","bibliographic_titleLang":"en"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In recent years, research on computer vision has shown great advancement and has been applied to a wide range of fields. Among them, automatic recognition of human motion is an important technology especially in crime prevention and elderly watching systems. Considering this trend, the paper proposes a novel method of human motion description and recognition using a motion history image-based method called triplet motion representation images and an extended feature descriptor called histograms of oriented optical flow which contains information on the direction and velocity of movement. One of the advantages of the proposed method over existent methods is that it solves a self-occlusive motion problem particularly in the depth direction which occurs when a single camera is used. The performance and effectiveness of the proposed method are verified by experiments.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/35_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"Atlantis Press"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.2991/jrnal.k.201215.004","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"著作権関連情報","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2020 The Authors. Published by Atlantis Press B.V. This is an open access article distributed under the CC BY-NC 4.0 license.","subitem_rights_resource":"http://creativecommons.org/licenses/by-nc/4.0/"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2352-6386","subitem_source_identifier_type":"EISSN"},{"subitem_source_identifier":"2405-9021","subitem_source_identifier_type":"PISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"509","subitem_subject_scheme":"NDC"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10358843"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8376"}]},"item_21_version_type_58":{"attribute_name":"出版タイプ","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":"Cao, Jing","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yamashita, Youtaro","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNames":[{}]}],"creatorAlternatives":[{"creatorAlternative":"丹上, 結乃純","creatorAlternativeLang":"ja"},{"creatorAlternative":"Tanjo, Yui","creatorAlternativeLang":"en"},{"creatorAlternative":"タンジョウ, ユウイ","creatorAlternativeLang":"ja-Kana"}],"creatorNames":[{"creatorName":"Tan, Joo kooi","creatorNameLang":"en"},{"creatorName":"タン, ジュークイ","creatorNameLang":"ja"}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-02-02"}],"displaytype":"detail","filename":"jrnal.k.201215.004.pdf","filesize":[{"value":"595.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"jrnal.k.201215.004.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6812/files/jrnal.k.201215.004.pdf"},"version_id":"82099b20-c2eb-469e-aad4-28f7001d59b9"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Human motion","subitem_subject_scheme":"Other"},{"subitem_subject":"description","subitem_subject_scheme":"Other"},{"subitem_subject":"recognition","subitem_subject_scheme":"Other"},{"subitem_subject":"elderly care","subitem_subject_scheme":"Other"},{"subitem_subject":"crime prevention","subitem_subject_scheme":"Other"},{"subitem_subject":"MHI","subitem_subject_scheme":"Other"},{"subitem_subject":"triplet motion representation images","subitem_subject_scheme":"Other"},{"subitem_subject":"HOOF","subitem_subject_scheme":"Other"}]},"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":"Human motion recognition using TMRIs with extended HOOF","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Human motion recognition using TMRIs with extended HOOF","subitem_title_language":"en"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-02-02"},"publish_date":"2021-02-02","publish_status":"0","recid":"6812","relation_version_is_last":true,"title":["Human motion recognition using TMRIs with extended HOOF"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2024-03-05T04:14:21.073955+00:00"}