{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:29:02Z","timestamp":1761060542848,"version":"3.37.3"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Singapore Ministry of Education Academic Research Fund Tier 2","award":["MOE2015-T2-2-114"],"award-info":[{"award-number":["MOE2015-T2-2-114"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/tcsvt.2018.2818151","type":"journal-article","created":{"date-parts":[[2018,3,22]],"date-time":"2018-03-22T18:08:10Z","timestamp":1521742090000},"page":"1077-1089","source":"Crossref","is-referenced-by-count":38,"title":["Discriminative Spatio-Temporal Pattern Discovery for 3D Action Recognition"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0001-7983-1461","authenticated-orcid":false,"given":"Junwu","family":"Weng","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-5138-8303","authenticated-orcid":false,"given":"Chaoqun","family":"Weng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/linproxy.fan.workers.dev:443\/https\/orcid.org\/0000-0002-7324-7034","authenticated-orcid":false,"given":"Junsong","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Zicheng","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.387"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.772"},{"key":"ref33","first-page":"37","article-title":"Tensor representations via kernel linearization for action recognition from 3D skeletons","author":"koniusz","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.82"},{"journal-title":"CVX MATLAB Software for Disciplined Convex Programming","year":"2006","author":"grant","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.505"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISSNIP.2014.6827664"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2014.04.007"},{"key":"ref34","first-page":"370","article-title":"Graph based skeleton motion representation and similarity measurement for action recognition","author":"wang","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref28","first-page":"33","article-title":"ANN: A library for approximate nearest neighbor searching","author":"mount","year":"1997","journal-title":"Proc Center Geometric Comput 2nd Ann Workshop Comput Geometry"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2013.6474999"},{"key":"ref29","first-page":"1","article-title":"Fast approximate nearest neighbors with automatic algorithm configuration","author":"muja","year":"2009","journal-title":"Proc VISSAPP"},{"key":"ref2","first-page":"1110","article-title":"Hierarchical recurrent neural network for skeleton based action recognition","author":"du","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995316"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.55"},{"key":"ref22","first-page":"622","article-title":"Stochastic neighbor compression","author":"kusner","year":"2014","journal-title":"Proc 31st Int Conf Mach Learn"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.231"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6239234"},{"key":"ref23","first-page":"3604","article-title":"Recognizing actions in 3D using action-snippets and activated simplices","author":"wang","year":"2016","journal-title":"Proc AAAI"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543273"},{"article-title":"Support tensor machines for text categorization","year":"2006","author":"cai","key":"ref25"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2678539"},{"key":"ref51","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.218"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.123"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995353"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.209"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587598"},{"key":"ref11","first-page":"1482","article-title":"Bilinear classifiers for visual recognition","author":"pirsiavash","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.391"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2013.04.007"},{"key":"ref13","first-page":"50","article-title":"Discriminative orderlet mining for real-time recognition of human-object interaction","author":"yu","year":"2014","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247813"},{"key":"ref15","first-page":"804","article-title":"Super normal vector for activity recognition using depth sequences","author":"yang","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEI.2011.6021605"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1499","DOI":"10.1109\/TCSVT.2008.2005597","article-title":"Expandable data-driven graphical modeling of human actions based on salient postures","volume":"18","author":"li","year":"2008","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6239233"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.289"},{"key":"ref4","first-page":"3697","article-title":"Co-occurrence feature learning for skeleton based action recognition using regularized deep LSTM networks","author":"zhu","year":"2016","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.460"},{"key":"ref6","first-page":"816","article-title":"Spatio-temporal LSTM with trust gates for 3D human action recognition","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.115"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900180"},{"key":"ref7","first-page":"203","article-title":"Online human action detection using joint classification-regression recurrent neural networks","author":"li","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref49","first-page":"102","article-title":"Action recognition based on joint trajectory maps using convolutional neural networks","author":"wang","year":"2016","journal-title":"Proc ACM Multimedia Conf"},{"key":"ref9","first-page":"2442","article-title":"Discriminative subvolume search for efficient action detection","author":"yuan","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref45","first-page":"627","article-title":"Trust region Newton method for logistic regression","volume":"9","author":"lin","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.06.035"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2303090"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.02.030"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.486"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2015.7486569"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/http\/xplorestaging.ieee.org\/ielx7\/76\/8681210\/08322204.pdf?arnumber=8322204","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:56:28Z","timestamp":1657745788000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/8322204\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":56,"journal-issue":{"issue":"4"},"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1109\/tcsvt.2018.2818151","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"type":"print","value":"1051-8215"},{"type":"electronic","value":"1558-2205"}],"subject":[],"published":{"date-parts":[[2019,4]]}}}