{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T15:48:37Z","timestamp":1782834517009,"version":"3.54.5"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Kakao and Kakao Brain corporations"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea (NRF) Grant funded by the Ministry of Science and ICT","doi-asserted-by":"publisher","award":["NRF-2019R1F1A1053366"],"award-info":[{"award-number":["NRF-2019R1F1A1053366"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3063302","type":"journal-article","created":{"date-parts":[[2021,3,2]],"date-time":"2021-03-02T20:58:10Z","timestamp":1614718690000},"page":"36547-36558","source":"Crossref","is-referenced-by-count":17,"title":["A Body Part Embedding Model With Datasets for Measuring 2D Human Motion Similarity"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4283-1155","authenticated-orcid":false,"given":"Jonghyuk","family":"Park","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sukhyun","family":"Cho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7480-3066","authenticated-orcid":false,"given":"Dongwoo","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6218-8588","authenticated-orcid":false,"given":"Oleksandr","family":"Bailo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2764-8483","authenticated-orcid":false,"given":"Heewoong","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanghoon","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7505-110X","authenticated-orcid":false,"given":"Jonghun","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"7024","article-title":"Human motion prediction via learning local structure representations and temporal dependencies","author":"guo","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00734"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206495"},{"key":"ref32","year":"2020","journal-title":"Amazon Mechanical Turk"},{"key":"ref31","article-title":"Vertex feature encoding and hierarchical temporal modeling in a spatial-temporal graph convolutional network for action recognition","author":"papadopoulos","year":"2019","journal-title":"arXiv 1912 09745"},{"key":"ref30","article-title":"Feedback graph convolutional network for skeleton-based action recognition","author":"yang","year":"2020","journal-title":"arXiv 2003 07564"},{"key":"ref37","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"gretton","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2019.2893247"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275038"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2324796.2324838"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968054"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2940281"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10605-2_45"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.334"},{"key":"ref20","year":"2020","journal-title":"Mixamo"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2916873"},{"key":"ref21","first-page":"1010","article-title":"NTU RGBD: A large scale dataset for 3D human activity analysis","author":"shahroudy","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2992740"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2996779"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2945632"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2964115"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1959.1104847"},{"key":"ref51","first-page":"1","article-title":"Linear hinge loss and average margin","author":"gentile","year":"1999","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref55","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref54","first-page":"1","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref53","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_26"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2019406.2019426"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2377553"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2347057"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298909"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01227"},{"key":"ref14","article-title":"Anomaly detection and localization in crowded scenes by motion-field shape description and similarity-based statistical learning","author":"zhang","year":"2018","journal-title":"arXiv 1805 10620"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_25"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00678"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2877886"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2872957"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322999"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_41"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.341"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3038372"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3041018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01301-6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/app9030528"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.403"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6068-4"},{"key":"ref46","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"2017","journal-title":"arXiv 1703 07737"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298930"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00239"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.12.002"},{"key":"ref41","article-title":"HAKE: Human activity knowledge engine","author":"li","year":"2019","journal-title":"arXiv 1904 06539"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref43","article-title":"Pose embeddings: A deep architecture for learning to match human poses","author":"mori","year":"2015","journal-title":"arXiv 1507 00302"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09366759.pdf?arnumber=9366759","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:10Z","timestamp":1639771030000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9366759\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3063302","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}