{"created":"2025-02-18T01:45:04.872513+00:00","id":2001032,"links":{},"metadata":{"_buckets":{"deposit":"225392dd-d7d0-4bfd-b3fa-bfa108ed6ce8"},"_deposit":{"created_by":41,"id":"2001032","owners":[41],"pid":{"revision_id":0,"type":"depid","value":"2001032"},"status":"published"},"_oai":{"id":"oai:hiroshima.repo.nii.ac.jp:02001032","sets":["1730444917621"]},"author_link":[],"item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_title":"Extracting human limb region using optical flow and nonlinear optimization","subitem_title_language":"en"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tamaki, Toru","creatorNameLang":"en"}],"familyNames":[{"familyName":"Tamaki","familyNameLang":"en"}],"givenNames":[{"givenName":"Toru","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Yamamura, Tsuyoshi","creatorNameLang":"en"}],"familyNames":[{"familyName":"Yamamura","familyNameLang":"en"}],"givenNames":[{"givenName":"Tsuyoshi","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Ohnishi, Noboru","creatorNameLang":"en"}],"familyNames":[{"familyName":"Ohnishi","familyNameLang":"en"}],"givenNames":[{"givenName":"Noboru","givenNameLang":"en"}]}]},"item_1617186476635":{"attribute_name":"Access Rights","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_1617186499011":{"attribute_name":"Rights","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2002 Asian Federation of Computer Vision Societies"}]},"item_1617186609386":{"attribute_name":"Subject","attribute_value_mlt":[{"subitem_subject":"540","subitem_subject_scheme":"NDC"}]},"item_1617186626617":{"attribute_name":"Description","attribute_value_mlt":[{"subitem_description":"We propose a method for extracting human limb regions by combination of optical flow based motion segmentation and nonlinear optimization based image registration. First, rotating limb regions with rough boundaries are extracted and motion parameters are estimated for an approximated model. Then the extracted region and estimated parameters are used as initial values for nonlinear optimization that minimizes residuals of two successive frames and estimates motion parameters. Combining the two steps reduces computational costs and avoids the initial state problem of optimization. According to estimated parameters, the limb region is extracted by Bayesian classifier to obtain accurate region boundaries. Experimental results on real images will be shown.","subitem_description_language":"en"}]},"item_1617186643794":{"attribute_name":"Publisher","attribute_value_mlt":[{"subitem_publisher":"Asian Federation of Computer Vision Societies"}]},"item_1617186702042":{"attribute_name":"Language","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_1617187024783":{"attribute_name":"Page Start","attribute_value_mlt":[{"subitem_start_page":"593"}]},"item_1617187056579":{"attribute_name":"Bibliographic Information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2002-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"597","bibliographicPageStart":"593","bibliographicVolumeNumber":"2","bibliographic_titles":[{"bibliographic_title":"Proceedings of the Fifth Asian Conference on Computer Vision : ACCV 2002"},{"bibliographic_title":"Proceedings of the Fifth Asian Conference on Computer Vision : ACCV 2002"}]}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1617353299429":{"attribute_name":"Relation","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://ir.lib.hiroshima-u.ac.jp/00020426","subitem_relation_type_select":"URI"}}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-03-18"}],"displaytype":"simple","filename":"accv2002_limb.pdf","filesize":[{"value":"452.9 KB"}],"mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://hiroshima.repo.nii.ac.jp/record/2001032/files/accv2002_limb.pdf"},"version_id":"90eadf78-2079-41ad-9019-c30402cef64b"}]},"item_1732771732025":{"attribute_name":"旧ID","attribute_value":"20425"},"item_title":"Extracting human limb region using optical flow and nonlinear optimization","item_type_id":"40003","owner":"41","path":["1730444917621"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-18"},"publish_date":"2023-03-18","publish_status":"0","recid":"2001032","relation_version_is_last":true,"title":["Extracting human limb region using optical flow and nonlinear optimization"],"weko_creator_id":"41","weko_shared_id":-1},"updated":"2025-02-18T03:09:38.079698+00:00"}