{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T15:34:29Z","timestamp":1773070469504,"version":"3.50.1"},"reference-count":71,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602478"],"award-info":[{"award-number":["61602478"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61751212"],"award-info":[{"award-number":["61751212"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61472421"],"award-info":[{"award-number":["61472421"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["L172051"],"award-info":[{"award-number":["L172051"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1636218"],"award-info":[{"award-number":["U1636218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research Program of Frontier Sciences","award":["QYZDJ-SSW-JSC040"],"award-info":[{"award-number":["QYZDJ-SSW-JSC040"]}]},{"name":"NSF","award":["1350521"],"award-info":[{"award-number":["1350521"]}]},{"name":"NSF","award":["1618398"],"award-info":[{"award-number":["1618398"]}]},{"name":"NSF","award":["1814745"],"award-info":[{"award-number":["1814745"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2020,4,1]]},"DOI":"10.1109\/tpami.2018.2889070","type":"journal-article","created":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T20:53:16Z","timestamp":1545425596000},"page":"939-955","source":"Crossref","is-referenced-by-count":16,"title":["Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8925-5215","authenticated-orcid":false,"given":"Jin","family":"Gao","sequence":"first","affiliation":[]},{"given":"Qiang","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6801-0510","authenticated-orcid":false,"given":"Junliang","family":"Xing","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4094-8413","authenticated-orcid":false,"given":"Haibin","family":"Ling","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9237-8825","authenticated-orcid":false,"given":"Weiming","family":"Hu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2113-9119","authenticated-orcid":false,"given":"Stephen","family":"Maybank","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref71","first-page":"1520","article-title":"Learning afnity via spatial propagation networks","author":"liu","year":"2017","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.108"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.255"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.239"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.156"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.2307\/1390812"},{"key":"ref31","author":"steyvers","year":"2011","journal-title":"Computational Statistics with Matlab"},{"key":"ref30","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.447"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.305"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539821"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.160"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.531"},{"key":"ref62","article-title":"Transferring rich feature hierarchies for robust visual tracking","author":"wang","year":"2015","journal-title":"CoRR"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_13"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00506"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/4170.001.0001"},{"key":"ref64","article-title":"Semi-supervised learning: From Gaussian fields to Gaussian processes","author":"zhu","year":"2003"},{"key":"ref27","author":"ristic","year":"2004","journal-title":"Beyond the Kalman Filter Particle Filters for Tracking Applications"},{"key":"ref65","first-page":"912","article-title":"Semi-supervised learning using Gaussian fields and harmonic functions","author":"zhu","year":"2003","journal-title":"Proc 20th Int Conf Mach Learn"},{"key":"ref66","doi-asserted-by":"crossref","first-page":"2420","DOI":"10.1109\/TPAMI.2012.42","article-title":"Single and multiple object tracking using log-Euclidean Riemannian subspace and block-division appearance model","volume":"34","author":"hu","year":"2012","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref29","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref68","first-page":"1601","article-title":"Self-tuning spectral clustering","author":"zelnik-manor","year":"2005","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref69","first-page":"254","article-title":"A scale adaptive kernel correlation filter tracker with feature integration","author":"li","year":"2014","journal-title":"Proc European Conf Comp Vis Workshop"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref20","first-page":"472","article-title":"Beyond correlation filters: Learning continuous convolution operators for visual tracking","author":"danelljan","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.152"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_40"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref23","first-page":"597","article-title":"Online tracking by learning discriminative saliency map with convolutional neural network","author":"hong","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0075-7"},{"key":"ref25","first-page":"850","article-title":"Fully-convolutional siamese networks for object tracking","author":"bertinetto","year":"2016","journal-title":"Proc European Conf Comp Vis Workshop"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.156"},{"key":"ref51","first-page":"809","article-title":"Learning a deep compact image representation for visual tracking","author":"wang","year":"2013","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.143"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.81"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2609928"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_9"},{"key":"ref55","first-page":"702","article-title":"Exploiting the circulant structure of tracking-by-detection with kernels","author":"henriques","year":"2012","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.84"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.357"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2539944"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref40","first-page":"5088","article-title":"Multihypothesis trajectory analysis for robust visual tracking","author":"lee","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2482905"},{"key":"ref14","first-page":"564","article-title":"The visual object tracking VOT2015 challenge results","author":"kristan","year":"2015","journal-title":"Proc IEEE Int Conf Comput Vis Workshop"},{"key":"ref15","first-page":"777","article-title":"The visual object tracking VOT2016 challenge results","author":"kristan","year":"2016","journal-title":"Proc European Conf Comp Vis Workshop"},{"key":"ref16","first-page":"188","article-title":"MEEM: Robust tracking via multiple experts using entropy minimization","author":"zhang","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.490"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.159"},{"key":"ref4","first-page":"627","article-title":"Treat samples differently: Object tracking with semi-supervised online CovBoost","author":"li","year":"2011","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref3","first-page":"234","article-title":"Semi-supervised on-line boosting for robust tracking","author":"grabner","year":"2008","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.226"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126364"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247882"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.313"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299177"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2509974"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1049-z"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2779275"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298675"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540145"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.466"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.344"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_23"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/34\/9025082\/8585063-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9025082\/08585063.pdf?arnumber=8585063","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:59:29Z","timestamp":1651067969000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8585063\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,1]]},"references-count":71,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2018.2889070","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,1]]}}}