{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T23:12:38Z","timestamp":1725059558592},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2017,12,8]],"date-time":"2017-12-08T00:00:00Z","timestamp":1512691200000},"content-version":"am","delay-in-days":251,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council (CSC)","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"US National Science Foundation","doi-asserted-by":"publisher","award":["1145152"],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61273196","61573348"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2017,4]]},"DOI":"10.1016\/j.patcog.2016.10.022","type":"journal-article","created":{"date-parts":[[2016,10,26]],"date-time":"2016-10-26T19:00:58Z","timestamp":1477508458000},"page":"361-373","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":33,"special_numbering":"C","title":["A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos"],"prefix":"10.1016","volume":"64","author":[{"given":"Baoyuan","family":"Wu","sequence":"first","affiliation":[]},{"given":"Bao-Gang","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Ji","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2016.10.022_bib1","series-title":"Video content analysis using multimodal information","author":"Li","year":"2003"},{"key":"10.1016\/j.patcog.2016.10.022_bib2","unstructured":"Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid, Unsupervised metric learning for face identification in tv video, in: ICCV, 2011, pp. 1559\u20131566."},{"issue":"10","key":"10.1016\/j.patcog.2016.10.022_bib3","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1016\/j.imavis.2011.07.006","article-title":"A mutual information based face clustering algorithm for movie content analysis","volume":"29","author":"Vretos","year":"2011","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.patcog.2016.10.022_bib4","unstructured":"Bao-Yuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji, Constrained clustering and its application to face clustering in videos, in: CVPR, 2013."},{"key":"10.1016\/j.patcog.2016.10.022_bib5","doi-asserted-by":"crossref","unstructured":"Emilio Maggio, Elisa Piccardo, Carlo Regazzoni, Andrea Cavallaro, Particle phd filtering for multi-target visual tracking, in: ICASSP, vol. 1, 2007, pp. I-1101.","DOI":"10.1109\/ICASSP.2007.366104"},{"key":"10.1016\/j.patcog.2016.10.022_bib6","unstructured":"Markus Roth, Martin Bauml, Ram Nevatia, Rainer Stiefelhagen, Robust multi-pose face tracking by multi-stage tracklet association, in: ICPR, 2012, pp. 1012\u20131016."},{"key":"10.1016\/j.patcog.2016.10.022_bib7","unstructured":"D. Koller, N. Friedman (Eds.), Probabilistic Graphical Models: Principles and Techniques, MIT Press, Cambridge, MA, 2009."},{"key":"10.1016\/j.patcog.2016.10.022_bib8","unstructured":"Bao-Yuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji, Simultaneous clustering and tracklet linking for multi-face tracking in videos, in: ICCV, 2013."},{"key":"10.1016\/j.patcog.2016.10.022_bib9","doi-asserted-by":"crossref","unstructured":"Andrew W. Fitzgibbon, Andrew Zisserman, On affine invariant clustering and automatic cast listing in movies, in: ECCV, Springer, 2002, pp. 304\u2013320.","DOI":"10.1007\/3-540-47977-5_20"},{"key":"10.1016\/j.patcog.2016.10.022_bib10","unstructured":"Andrew Fitzgibbon, Andrew Zisserman, Joint manifold distance: a new approach to appearance based clustering, in: CVPR, 2003, pp. I-26."},{"key":"10.1016\/j.patcog.2016.10.022_bib11","doi-asserted-by":"crossref","unstructured":"Ruiping Wang, Shiguang Shan, Xilin Chen, Wen Gao, Manifold-manifold distance with application to face recognition based on image set, in: CVPR, 2008, pp. 1\u20138.","DOI":"10.1109\/CVPR.2008.4587719"},{"key":"10.1016\/j.patcog.2016.10.022_bib12","unstructured":"Yiqun Hu, Ajmal S Mian, Robyn Owens, Sparse approximated nearest points for image set classification, in: CVPR, 2011, pp. 121\u2013128."},{"key":"10.1016\/j.patcog.2016.10.022_bib13","unstructured":"O. Arandjelovic, R. Cipolla, Automatic cast listing in feature-length films with anisotropic manifold space, in: CVPR, 2006, pp. 1513\u20131520."},{"key":"10.1016\/j.patcog.2016.10.022_bib14","doi-asserted-by":"crossref","unstructured":"S. Prince, J. Elder, Bayesian identity clustering, in: Canadian Conference on Computer and Robot Vision, 2010, pp. 32\u201339.","DOI":"10.1109\/CRV.2010.12"},{"key":"10.1016\/j.patcog.2016.10.022_bib15","doi-asserted-by":"crossref","unstructured":"Ming Du, Rama Chellappa, Face association across unconstrained video frames using conditional random fields, in: ECCV, Springer, 2012, pp. 167\u2013180.","DOI":"10.1007\/978-3-642-33786-4_13"},{"key":"10.1016\/j.patcog.2016.10.022_bib16","doi-asserted-by":"crossref","unstructured":"Lior Wolf, Tal Hassner, Itay Maoz, Face recognition in unconstrained videos with matched background similarity, in: CVPR, 2011, pp. 529\u2013534.","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"10.1016\/j.patcog.2016.10.022_bib17","unstructured":"T.L. Berg, A.C. Berg, J. Edwards, M. Maire, R. White, Y. Teh, E. Learned-Miller, D.A. Forsyth, Names and faces in the news, in: CVPR, 2006, pp. 848\u2013854."},{"key":"10.1016\/j.patcog.2016.10.022_bib18","doi-asserted-by":"crossref","unstructured":"Shijie Xiao, Mingkui Tan, Dong Xu, Weighted block-sparse low rank representation for face clustering in videos, in: ECCV, Springer, 2014, pp. 123\u2013138.","DOI":"10.1007\/978-3-319-10599-4_9"},{"issue":"11","key":"10.1016\/j.patcog.2016.10.022_bib19","doi-asserted-by":"crossref","first-page":"4381","DOI":"10.1109\/TIP.2015.2463223","article-title":"Constrained multi-view video face clustering","volume":"24","author":"Cao","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2016.10.022_bib20","unstructured":"Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang, Diversity-induced multi-view subspace clustering, in: CVPR, 2015, pp. 586\u2013594."},{"key":"10.1016\/j.patcog.2016.10.022_bib21","unstructured":"K. Wagstaff, C. Cardie, S. Rogers, S. Schrdl, Constrained k-means clustering with background knowledge, in: ICML, 2001, pp. 577\u2013584."},{"key":"10.1016\/j.patcog.2016.10.022_bib22","unstructured":"D. Klein, S.D. Kamvar, C.D. Manning, From instance-level constraints to space-level constraints: making the most of prior knowledge in data clustering, in: ICML, 2002, pp. 307\u2013314."},{"key":"10.1016\/j.patcog.2016.10.022_bib23","unstructured":"Eric P Xing, Michael I Jordan, Stuart Russell, Andrew Ng, Distance metric learning with application to clustering with side-information, in: NIPS, 2002, pp. 505\u2013512."},{"key":"10.1016\/j.patcog.2016.10.022_bib24","unstructured":"N. Shental, A. Bar-Hillel, T. Hertz, D. Weinshall, Computing Gaussian mixture models with em using equivalence constraints, in: NIPS, 2004."},{"issue":"6","key":"10.1016\/j.patcog.2016.10.022_bib25","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1162\/neco.2007.19.6.1528","article-title":"Penalized probabilistic clustering","volume":"19","author":"Lu","year":"2007","journal-title":"Neural Comput."},{"key":"10.1016\/j.patcog.2016.10.022_bib26","doi-asserted-by":"crossref","unstructured":"Sugato Basu, Mikhail Bilenko, Arindam Banerjee, Raymond J. Mooney, Probabilistic semi-supervised clustering with constraints, In: Semi-supervised Learning,\u00a02006, pp. 71\u201398.","DOI":"10.7551\/mitpress\/9780262033589.003.0005"},{"key":"10.1016\/j.patcog.2016.10.022_bib27","unstructured":"Cheng-Hao Kuo, Chang Huang, Ramakant Nevatia, Multi-target tracking by on-line learned discriminative appearance models, in: CVPR, 2010, pp. 685\u2013692."},{"key":"10.1016\/j.patcog.2016.10.022_bib28","unstructured":"Peter Nillius, Josephine Sullivan, Stefan Carlsson, Multi-target tracking-linking identities using Bayesian network inference, in: CVPR, volume 2, 2006, pp. 2187\u20132194."},{"key":"10.1016\/j.patcog.2016.10.022_bib29","doi-asserted-by":"crossref","unstructured":"Bo Yang, Ram Nevatia, Multi-target tracking by online learning of non-linear motion patterns and robust appearance models, in: CVPR, 2012, pp. 1918\u20131925.","DOI":"10.1109\/CVPR.2012.6247892"},{"key":"10.1016\/j.patcog.2016.10.022_bib30","doi-asserted-by":"crossref","unstructured":"Zhen Qin, Christian R. Shelton, Improving multi-target tracking via social grouping, in: CVPR, 2012, pp. 1972\u20131978.","DOI":"10.1109\/CVPR.2012.6247899"},{"issue":"1\u20132","key":"10.1016\/j.patcog.2016.10.022_bib31","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1002\/nav.3800020109","article-title":"The Hungarian method for the assignment problem","volume":"2","author":"Kuhn","year":"1955","journal-title":"Nav. Res. Logist. Q."},{"key":"10.1016\/j.patcog.2016.10.022_bib32","doi-asserted-by":"crossref","unstructured":"Chang Huang, Bo Wu, Ramakant Nevatia, Robust object tracking by hierarchical association of detection responses, in: ECCV, Springer, 2008, pp. 788\u2013801.","DOI":"10.1007\/978-3-540-88688-4_58"},{"key":"10.1016\/j.patcog.2016.10.022_bib33","unstructured":"Vivek Kumar Singh, Bo Wu, Ramakant Nevatia, Pedestrian tracking by associating tracklets using detection residuals, in: IEEE Workshop on Motion and video Computing, 2008, pp. 1\u20138."},{"key":"10.1016\/j.patcog.2016.10.022_bib34","doi-asserted-by":"crossref","unstructured":"Bi Song, Ting-Yueh Jeng, Elliot Staudt, Amit K Roy-Chowdhury, A stochastic graph evolution framework for robust multi-target tracking, in: ECCV, Springer, 2010, pp. 605\u2013619.","DOI":"10.1007\/978-3-642-15549-9_44"},{"key":"10.1016\/j.patcog.2016.10.022_bib35","doi-asserted-by":"crossref","unstructured":"Yuan Li, Chang Huang, Ram Nevatia, Learning to associate: Hybridboosted multi-target tracker for crowded scene, in: CVPR, 2009, pp. 2953\u20132960.","DOI":"10.1109\/CVPRW.2009.5206735"},{"key":"10.1016\/j.patcog.2016.10.022_bib36","doi-asserted-by":"crossref","unstructured":"Bing Wang, Gang Wang, Kap Luk Chan, Li Wang, Tracklet association with online target-specific metric learning, in: CVPR, 2014, pp. 1234\u20131241.","DOI":"10.1109\/CVPR.2014.161"},{"issue":"C","key":"10.1016\/j.patcog.2016.10.022_bib37","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.cviu.2015.01.002","article-title":"Tracking multiple interacting targets in a camera network","volume":"134","author":"Zhang","year":"2015","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.patcog.2016.10.022_bib38","unstructured":"Seung-Hwan Bae, Kuk-Jin Yoon, Robust online multi-object tracking based on tracklet confidence and online discriminative appearance learning, in: CVPR, 2014, pp. 1218\u20131225."},{"key":"10.1016\/j.patcog.2016.10.022_bib39","doi-asserted-by":"crossref","unstructured":"Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui, Ryosuke Shibasaki, Hongbin Zha, An online approach: learning-semantic-scene-by-tracking and tracking-by-learning-semantic-scene, in: CVPR, 2010, pp. 739\u2013746.","DOI":"10.1109\/CVPR.2010.5540143"},{"issue":"1","key":"10.1016\/j.patcog.2016.10.022_bib40","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S0031-3203(02)00027-4","article-title":"Em procedures using mean field-like approximations for Markov model-based image segmentation","volume":"36","author":"Celeux","year":"2003","journal-title":"Pattern Recognit."},{"issue":"3","key":"10.1016\/j.patcog.2016.10.022_bib41","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1080\/00031305.1992.10475878","article-title":"Explaining the Gibbs sampler","volume":"46","author":"Casella","year":"1992","journal-title":"Am. Stat."},{"key":"10.1016\/j.patcog.2016.10.022_bib42","doi-asserted-by":"crossref","unstructured":"R. Battiti, M. Brunato, F. Mascia, Reactive Search and Intelligent Optimization, Operations research\/Computer Science Interfaces,\u00a0vol. 45,\u00a0Springer Verlag, 2008.","DOI":"10.1007\/978-0-387-09624-7"},{"key":"10.1016\/j.patcog.2016.10.022_bib43","doi-asserted-by":"crossref","unstructured":"Z.W. Lu, H.H.S. Ip, Constrained spectral clustering via exhaustive and efficient constraint propagation, in: ECCV, 2010, pp. 1\u201314.","DOI":"10.1007\/978-3-642-15567-3_1"},{"key":"10.1016\/j.patcog.2016.10.022_bib44","unstructured":"Z.M. Lihi, P. Perona, Self-tuning spectral clustering, in: NIPS, 2004, pp. 1601\u20131608."},{"key":"10.1016\/j.patcog.2016.10.022_bib45","series-title":"Practical methods of optimization","author":"Fletcher","year":"1987"},{"issue":"9","key":"10.1016\/j.patcog.2016.10.022_bib46","doi-asserted-by":"crossref","first-page":"820","DOI":"10.1145\/361573.361582","article-title":"Solution of the matrix equation ax+ xb= c [f4]","volume":"15","author":"Bartels","year":"1972","journal-title":"Commun. ACM"},{"issue":"4","key":"10.1016\/j.patcog.2016.10.022_bib47","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1137\/1012104","article-title":"Explicit solutions of linear matrix equations","volume":"12","author":"Lancaster","year":"1970","journal-title":"SIAM Rev."},{"issue":"7","key":"10.1016\/j.patcog.2016.10.022_bib48","doi-asserted-by":"crossref","first-page":"1276","DOI":"10.1109\/TMM.2009.2030629","article-title":"Character identification in feature-length films using global face-name matching","volume":"11","author":"Zhang","year":"2009","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2016.10.022_bib49","unstructured":"Paul Viola, Michael Jones, Rapid object detection using a boosted cascade of simple features, in: CVPR, 2001."},{"key":"10.1016\/j.patcog.2016.10.022_bib50","series-title":"Pattern Recognition and Machine Learning","author":"Bishop","year":"2006"}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320316303387?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320316303387?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T12:54:27Z","timestamp":1712321667000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320316303387"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4]]},"references-count":50,"alternative-id":["S0031320316303387"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2016.10.022","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2017,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2016.10.022","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2016 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}