{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:51:07Z","timestamp":1767340267417},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2013,4,1]],"date-time":"2013-04-01T00:00:00Z","timestamp":1364774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2013,4]]},"DOI":"10.1109\/tcsvt.2012.2221257","type":"journal-article","created":{"date-parts":[[2012,10,1]],"date-time":"2012-10-01T18:48:36Z","timestamp":1349117316000},"page":"695-709","source":"Crossref","is-referenced-by-count":9,"title":["SSOCBT: A Robust Semisupervised Online CovBoost Tracker That Uses Samples Differently"],"prefix":"10.1109","volume":"23","author":[{"given":"Guorong","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingming","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuqiang","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315215"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.854761"},{"key":"ref33","year":"2008","journal-title":"CMU Vivid Dataset"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/18.681318"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2004.1365067"},{"key":"ref30","first-page":"205","article-title":"Using Kullback?Leibler distance for text categorization","author":"bigi","year":"2003","journal-title":"Proc ECIR"},{"key":"ref37","first-page":"ii","article-title":"Image matching by normalized cross-correlation","author":"zhao","year":"2006","journal-title":"Proc IEEE Int Conf Acoustics Speech Signal Process"},{"key":"ref36","first-page":"25","article-title":"High accuracy optical flow estimation based on a theory of warping","author":"brox","year":"2004","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref35","author":"zhu","year":"2005","journal-title":"Semi-supervised learning literature survey"},{"key":"ref34","first-page":"23","article-title":"A decision-theoretic generalization of on-line learning and an application to boosting","author":"freund","year":"1994","journal-title":"Proc EuroCOLT"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5244\/C.20.6"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587629"},{"key":"ref11","first-page":"1037","article-title":"Online selectiong discriminative tracking features using particle filter","volume":"2","author":"wang","year":"2005","journal-title":"Proc IEEE Comput Soc Conf Comput Vision Pattern Recognit"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2011.11.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/14786440109462720"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408954"},{"key":"ref15","first-page":"678","article-title":"Online tracking and reacquisition using co-trained generative and discriminative trackers","author":"yu","year":"2008","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref16","first-page":"234","article-title":"Semi-supervised on-line boosting for robust tracking","author":"grabner","year":"2008","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref17","first-page":"1459","article-title":"A robust boosting tracker with minimum error bound in a co-training framework","author":"liu","year":"2009","journal-title":"Proc IEEE Int Conf Comput Vision"},{"key":"ref18","first-page":"798","article-title":"Visual tracking with online multiple instance learning","author":"babenko","year":"2009","journal-title":"Proc Comput Vision Pattern Recognit"},{"key":"ref19","first-page":"1879","article-title":"On-line semi-supervised mulitple-instance boosting","author":"zeisl","year":"2010","journal-title":"Proc Comput Vision Pattern Recognit"},{"key":"ref28","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 Vision"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.256"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539857"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007939232436"},{"key":"ref6","first-page":"1436","article-title":"Robust visual tracking using l1 minimization","author":"mei","year":"2009","journal-title":"Proc IEEE Int Conf Comput Vision"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0075-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.205"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2011.2165591"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008078328650"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1195991"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.144"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540231"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.16"},{"key":"ref21","first-page":"393","article-title":"Online manifold regularization: A new learning setting and empirical study","author":"goldberg","year":"2008","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref24","first-page":"985","article-title":"Covariate shift adaptation by importance weighted cross validation","volume":"8","author":"sugiyama","year":"2007","journal-title":"J Mach Learning Res"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2010.5653525"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-3758(00)00115-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2103951"},{"key":"ref25","first-page":"2137","article-title":"Discriminative learning under covariate shift","volume":"10","author":"bickel","year":"2009","journal-title":"J Mach Learning Res"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539821"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/76\/6491457\/06317155.pdf?arnumber=6317155","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T20:42:50Z","timestamp":1638218570000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6317155\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,4]]},"references-count":43,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2012.2221257","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,4]]}}}