{"created":"2023-05-15T11:59:43.448003+00:00","id":6289,"links":{},"metadata":{"_buckets":{"deposit":"888d7e1a-4ad2-42c4-8743-c970ca5bcc49"},"_deposit":{"created_by":3,"id":"6289","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6289"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006289","sets":["8:24"]},"author_link":["25927","399"],"control_number":"6289","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-12-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"224","bibliographicPageStart":"219","bibliographicVolumeNumber":"24","bibliographic_titles":[{"bibliographic_title":"Artificial Life and Robotics","bibliographic_titleLang":"en"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"As action recognition undergoes change as a field under influence of the recent deep learning trend, and while research in areas such as background subtraction, object segmentation and action classification is steadily progressing, experiments devoted to evaluate a combination of the aforementioned fields, be it from a speed or a performance perspective, are far and few between. In this paper, we propose a deep, unified framework targeted towards suspicious action recognition that takes advantage of recent discoveries, fully leverages the power of convolutional neural networks and strikes a balance between speed and accuracy not accounted for in most research. We carry out performance evaluation on the KTH dataset and attain a 95.4% accuracy in 200 ms computational time, which compares favorably to other state-of-the-art methods. We also apply our framework to a video surveillance dataset and obtain 91.9% accuracy for suspicious actions in 205 ms computational time.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_21_description_5":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_description":"This work was presented in part at the 23rd International Symposium on Artificial Life and Robotics, Beppu, Oita, January 18–20, 2018.","subitem_description_type":"Other"}]},"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":"Springer","subitem_publisher_language":"en"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/s10015-018-0518-y","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) International Society of Artificial Life and Robotics (ISAROB) 2018"},{"subitem_rights":"The final publication is available at Springer via http://dx.doi.org/https://doi.org/10.1007/s10015-018-0518-y"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_10":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AA11239104","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1614-7456","subitem_source_identifier_type":"EISSN"},{"subitem_source_identifier":"1433-5298","subitem_source_identifier_type":"PISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10333782"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"7482"}]},"item_21_version_type_58":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAlternatives":[{"creatorAlternative":"Ilidrissi, A.","creatorAlternativeLang":"en"}],"creatorNames":[{"creatorName":"Ilidrissi, Amine","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":"2019-12-19"}],"displaytype":"detail","filename":"s10015-018-0518-y.pdf","filesize":[{"value":"159.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"s10015-018-0518-y.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6289/files/s10015-018-0518-y.pdf"},"version_id":"308978f3-a657-4226-9542-2e1f1a28aefb"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Suspicious action recognition","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep learning","subitem_subject_scheme":"Other"},{"subitem_subject":"Convolutional neural networks","subitem_subject_scheme":"Other"},{"subitem_subject":"Background subtraction","subitem_subject_scheme":"Other"},{"subitem_subject":"Optical flow estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"Action classification","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":"A deep unified framework for suspicious action recognition","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A deep unified framework for suspicious action recognition","subitem_title_language":"en"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-12-19"},"publish_date":"2019-12-19","publish_status":"0","recid":"6289","relation_version_is_last":true,"title":["A deep unified framework for suspicious action recognition"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2024-02-28T05:07:52.622759+00:00"}