{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:02:12Z","timestamp":1761663732714,"version":"3.37.3"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61432019","61572498","61532009","61702511","61572296"],"award-info":[{"award-number":["61432019","61572498","61532009","61702511","61572296"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research Program of Frontier Sciences, CAS","award":["QYZDJ-SSW-JSC039"],"award-info":[{"award-number":["QYZDJ-SSW-JSC039"]}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["4172062"],"award-info":[{"award-number":["4172062"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1109\/tip.2018.2813166","type":"journal-article","created":{"date-parts":[[2018,3,9]],"date-time":"2018-03-09T19:17:51Z","timestamp":1520623071000},"page":"3074-3086","source":"Crossref","is-referenced-by-count":45,"title":["P2T: Part-to-Target Tracking via Deep Regression Learning"],"prefix":"10.1109","volume":"27","author":[{"given":"Junyu","family":"Gao","sequence":"first","affiliation":[]},{"given":"Tianzhu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaoshan","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8343-9665","authenticated-orcid":false,"given":"Changsheng","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","first-page":"254","article-title":"A scale adaptive kernel correlation filter tracker with feature integration","author":"li","year":"2014","journal-title":"Proc ECCV"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.159"},{"key":"ref71","first-page":"472","article-title":"Beyond correlation filters: Learning continuous convolution operators for visual tracking","author":"danelljan","year":"2016","journal-title":"Proc ECCV"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.108"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2409553"},{"key":"ref74","first-page":"188","article-title":"Transfer learning based visual tracking with Gaussian processes regression","author":"gao","year":"2014","journal-title":"Proc ECCV"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1049\/el.2016.3011"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.421"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298610"},{"key":"ref31","article-title":"Robust structural sparse tracking","author":"zhang","year":"0","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2388226"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.512"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.65"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539821"},{"key":"ref34","first-page":"470","article-title":"Low-rank sparse learning for robust visual tracking","author":"zhang","year":"2012","journal-title":"Proc ECCV"},{"journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition","year":"2014","author":"simonyan","key":"ref60"},{"journal-title":"VOT2014 Challenge","year":"2017","key":"ref62"},{"journal-title":"Once for all a two-flow convolutional neural network for visual tracking","year":"2016","author":"chen","key":"ref61"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2508037.2508039"},{"key":"ref63","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.145"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"journal-title":"Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking","year":"2016","author":"ning","key":"ref65"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230","article-title":"Visual tracking: An experimental survey","volume":"36","author":"smeulders","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.312"},{"key":"ref68","first-page":"564","article-title":"The visual object tracking VOT2015 challenge results","author":"kristan","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Workshop"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2482905"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298675"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.352"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.467"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298632"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0738-0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299124"},{"journal-title":"Deformable parts correlation filters for robust visual tracking","year":"2016","author":"luke\u017ei?","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2364919"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.32"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.158"},{"key":"ref59","first-page":"597","article-title":"Online tracking by learning discriminative saliency map with convolutional neural network","author":"hong","year":"2015","journal-title":"Proc ICML"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.357"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2531283"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2510583"},{"key":"ref55","first-page":"3","article-title":"DeepTrack: Learning discriminative feature representations by convolutional neural networks for visual tracking","volume":"1","author":"li","year":"2014","journal-title":"Proc BMVC"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.84"},{"key":"ref53","article-title":"Learning multi-task correlation particle filters for visual tracking","author":"zhang","year":"0","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.466"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0075-7"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.256"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0582-z"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.94"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.164"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126251"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206737"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.215"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2009.5457447"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.156"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2656628"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2345390"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.490"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_13"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2443559"},{"key":"ref8","first-page":"2042","article-title":"Robust visual tracking via multi-task sparse learning","author":"zhang","year":"2012","journal-title":"Proc CVPR"},{"key":"ref49","first-page":"749","article-title":"Learning to track at 100 FPS with deep regression networks","author":"held","year":"2016","journal-title":"Proc ECCV"},{"key":"ref7","first-page":"1436","article-title":"Robust visual tracking using \n$\\ell _{1}$\n minimization","author":"mei","year":"2009","journal-title":"Proc ICCV"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1195991"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"1428","DOI":"10.1109\/TPAMI.2013.213","article-title":"Tracking by sampling and integratingmultiple trackers","volume":"36","author":"kwon","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.493"},{"journal-title":"Fully-Convolutional Siamese Networks for Object Tracking","year":"2016","author":"bertinetto","key":"ref48"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.06.001"},{"key":"ref42","first-page":"1822","article-title":"Visual tracking via adaptive structural local sparse appearance model","author":"jia","year":"2012","journal-title":"Proc CVPR"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.161"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.250"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2012.11.005"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8310970\/08310629.pdf?arnumber=8310629","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T07:16:16Z","timestamp":1643181376000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8310629\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6]]},"references-count":74,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tip.2018.2813166","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2018,6]]}}}