{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:21:33Z","timestamp":1740108093084,"version":"3.37.3"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T00:00:00Z","timestamp":1553817600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61374161"],"award-info":[{"award-number":["61374161"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"China Aviation Science Foundation","award":["20142057006"],"award-info":[{"award-number":["20142057006"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1007\/s10044-019-00812-4","type":"journal-article","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T16:03:37Z","timestamp":1553875417000},"page":"493-507","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-task non-negative matrix factorization for visual object tracking"],"prefix":"10.1007","volume":"23","author":[{"given":"Yong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0852-7598","authenticated-orcid":false,"given":"Xinbin","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shan","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiqiang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,29]]},"reference":[{"issue":"4","key":"812_CR1","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1145\/1177352.1177355","volume":"38","author":"A Yilmaz","year":"2006","unstructured":"Yilmaz A, Javed O, Shah M (2006) Object tracking: a survey. ACM Comput Surv 38(4):13\u201332","journal-title":"ACM Comput Surv"},{"issue":"1","key":"812_CR2","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"D Ross","year":"2008","unstructured":"Ross D, Lim J, Lin RS, Yang MH (2008) Incremental learning for robust visual tracking. Int J Comput Vis 77(1):125\u2013141","journal-title":"Int J Comput Vis"},{"issue":"11","key":"812_CR3","doi-asserted-by":"publisher","first-page":"2259","DOI":"10.1109\/TPAMI.2011.66","volume":"33","author":"X Mei","year":"2011","unstructured":"Mei X, Ling H (2011) Robust visual tracking and vehicle classification via sparse representation. IEEE Trans Pattern Anal Mach Intell 33(11):2259\u20132272","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"812_CR4","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1007\/978-3-642-33783-3_34","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Tianzhu Zhang","year":"2012","unstructured":"Zhang T, Ghanem B, Liu S, Ahuja N (2012) Low-rank sparse learning for robust visual tracking. In: ECCV 2012. Springer, Berlin, pp 470\u2013484"},{"key":"812_CR5","unstructured":"Zhang T, Ghanem B, Liu S, Ahuja N (2012) Robust visual tracking via multi-task sparse learning. In: IEEE conference on computer vision and pattern recognition, pp 1\u20138"},{"key":"812_CR6","doi-asserted-by":"publisher","first-page":"864","DOI":"10.1007\/978-3-642-33712-3_62","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Kaihua Zhang","year":"2012","unstructured":"Zhang K, Zhang L, Yang M-H (2012) Real-time compressive tracking. In: Proceedings of European conference on computer vision, vol 3, Florence, Italy, pp 864\u2013877"},{"key":"812_CR7","unstructured":"Bao C, Wu Y, Ling H, Ji H (2012) Real time robust L1 tracker using accelerated proximal gradient approach. In: IEEE conference on computer vision and pattern recognition (CVPR), Rhode Island"},{"issue":"3","key":"812_CR8","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1109\/TCSVT.2013.2278199","volume":"24","author":"Y Wu","year":"2014","unstructured":"Wu Y, Shen B, Ling H (2014) Visual tracking via online non-negative matrix factorization. IEEE Trans Circuits Syst Video Technol 24(3):374\u2013383","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"8","key":"812_CR9","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1109\/TPAMI.2010.226","volume":"33","author":"B Babenko","year":"2011","unstructured":"Babenko B, Yang M-H, Belongie S (2011) Robust object tracking with online multiple instance learning. IEEE Trans Pattern Anal Mach Intell 33(8):1619\u20131632","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"812_CR10","doi-asserted-by":"crossref","unstructured":"Wang Q, Chen F, Xu W, Yang M-H (2012) Online discriminative object tracking with local sparse representation. In: IEEE workshop on the applications of computer vision, pp 425\u2013432","DOI":"10.1109\/WACV.2012.6162999"},{"issue":"4","key":"812_CR11","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1145\/2508037.2508039","volume":"4","author":"X Li","year":"2013","unstructured":"Li X, Hu W, Shen C, Zhang Z, Dick A, Hengel A (2013) A survey of appearance models in visual object tracking. ACM Trans Intell Syst Technol 4(4):58","journal-title":"ACM Trans Intell Syst Technol"},{"key":"812_CR12","first-page":"798","volume":"1","author":"A Adam","year":"2006","unstructured":"Adam A, Rivlin E, Shimshoni I (2006) Robust fragments-based tracking using the integral histogram. CVPR 1:798\u2013805","journal-title":"CVPR"},{"key":"812_CR13","doi-asserted-by":"crossref","unstructured":"Kwon J, Lee KM (2010) Visual tracking decomposition. In: CVPR, pp 1269\u20131276","DOI":"10.1109\/CVPR.2010.5539821"},{"key":"812_CR14","unstructured":"Wang S, Lu H, Yang F, Yang M-H (2011) Superpixel Tracking. In: IEEE international conference on ICCV, pp 1323\u20131330"},{"issue":"1","key":"812_CR15","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s00138-014-0654-x","volume":"26","author":"Y Wang","year":"2015","unstructured":"Wang Y, Hu S, Wu S (2015) Visual tracking based on group sparsity learning. Mach Vis Appl 26(1):127\u2013139","journal-title":"Mach Vis Appl"},{"key":"812_CR16","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee DD, Seung HS (1999) Learning the parts of objects by non-negative matrix factorization. Nature 401:788\u2013791","journal-title":"Nature"},{"key":"812_CR17","doi-asserted-by":"crossref","unstructured":"Sun DL, Fevotte C (2014) Alternating direction method of multipliers for non-negative matrix factorization with the beta-divergence. In: 2014 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE","DOI":"10.1109\/ICASSP.2014.6854796"},{"issue":"1","key":"812_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd S, Parikh N, Chu E, Peleato B, Eckstein J (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3(1):1\u2013122","journal-title":"Found Trends Mach Learn"},{"key":"812_CR19","doi-asserted-by":"crossref","unstructured":"Wang Y, Luo X, Hu S (2016) Visual tracking via multi-task non-negative matrix factorization. In: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE","DOI":"10.1109\/ICASSP.2016.7471930"},{"issue":"1","key":"812_CR20","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1016\/j.patcog.2012.07.013","volume":"46","author":"K Zhang","year":"2013","unstructured":"Zhang K, Song H (2013) Real-time visual tracking via online weighted multiple instance learning. Pattern Recognit 46(1):397\u2013411","journal-title":"Pattern Recognit"},{"key":"812_CR21","doi-asserted-by":"crossref","unstructured":"Grabner H, Bischof H (2006) On-line boosting and vision. In: Proceedings of the IEEE CVPR, pp 260\u2013267","DOI":"10.1109\/CVPR.2006.215"},{"key":"812_CR22","first-page":"234","volume-title":"Lecture Notes in Computer Science","author":"Helmut Grabner","year":"2008","unstructured":"Grabner H, Leistner C, Bischof H (2008) Semi-supervised on-line boosting for robust tracking. In: Proceedings of the 10th ECCV, pp 234\u2013247"},{"issue":"3","key":"812_CR23","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-010-0399-6","volume":"91","author":"W Hu","year":"2011","unstructured":"Hu W, Li X, Zhang X, Shi X, Maybank SJ, Zhang Z (2011) Incremental tensor subspace learning and its applications to foreground segmentation and tracking. Int J Comput Vis 91(3):303\u2013327","journal-title":"Int J Comput Vis"},{"key":"812_CR24","doi-asserted-by":"crossref","unstructured":"Li X, Hu W, Zhang Z, Zhang X, Luo G (2007) Robust visual tracking based on incremental tensor subspace learning. In: Proceedings of the IEEE ICCV, pp 1\u20138","DOI":"10.1109\/ICCV.2007.4408950"},{"key":"812_CR25","doi-asserted-by":"crossref","unstructured":"Mei X, Zhou SK, Porikli F (2007) Probabilistic visual tracking via robust template matching and incremental subspace update. In: Proceedings of the IEEE ICME, pp 1818\u20131821","DOI":"10.1109\/ICME.2007.4285026"},{"key":"812_CR26","doi-asserted-by":"crossref","unstructured":"Porikli F, Tuzel O, Meer P (2006) Covariance tracking using model update based on lie algebra. In: Proceedings of the IEEE computer society conference CVPR, pp 728\u2013735","DOI":"10.1109\/CVPR.2006.94"},{"key":"812_CR27","unstructured":"Pinho RR, Correia MV (2005) A movement tracking management model with Kalman filtering, global optimization techniques and mahalanobis distance.  In: Lecture series on computer and computational sciences, vol 4A. Brill Academic Publishers, pp 463\u2013466"},{"issue":"1","key":"812_CR28","first-page":"51","volume":"46","author":"RR Pinho","year":"2009","unstructured":"Pinho RR, Tavares JMRS (2009) Tracking features in image sequences with Kalman filtering, global optimization, mahalanobis distance and a management model. CMES 46(1):51\u201375","journal-title":"CMES"},{"issue":"11","key":"812_CR29","first-page":"2165","volume":"3","author":"RR Pinho","year":"2006","unstructured":"Pinho RR, Tavares JMRS, Correia MV (2006) An improved management model for tracking missing features in computer vision long image sequences. WSEAS Trans Inf Sci Appl 3(11):2165\u20132170","journal-title":"WSEAS Trans Inf Sci Appl"},{"key":"812_CR30","unstructured":"Tavares JMRS, Padilha A (1995) Matching lines in image sequences with geometric constraints. In: RecPad\u201995\u20147th Portuguese conference on pattern recognition"},{"issue":"2","key":"812_CR31","doi-asserted-by":"publisher","first-page":"84","DOI":"10.2507\/IJSIMM06(2)S.03","volume":"6","author":"R. R. Pinho","year":"2007","unstructured":"Pinho RR, Tavares JMRS, Correia MFV (2007) Efficient approximation of the mahalanobis distance for tracking with the Kalman filter. Int J Simul Model 6(2):84\u201392; ISSN: 1726-4529, DAAAM International Vienna","journal-title":"International Journal of Simulation Modelling"},{"key":"812_CR32","doi-asserted-by":"crossref","unstructured":"Li H, Shen C, Shi Q (2011) Real-time visual tracking using compressive sensing. In: CVPR","DOI":"10.1109\/CVPR.2011.5995483"},{"issue":"10","key":"812_CR33","first-page":"4349","volume":"21","author":"X-T Yuan","year":"2012","unstructured":"Yuan X-T, Liu X, Yan S (2012) Visual classification with multitask joint sparse representation. TIP 21(10):4349\u20134360","journal-title":"TIP"},{"key":"812_CR34","doi-asserted-by":"crossref","unstructured":"Zhang H, Nasrabadi NM, Zhang Y, Huang TS (2011) Multi-observation visual recognition via joint dynamic sparse representation. In: ICCV","DOI":"10.1109\/ICIP.2011.6116301"},{"key":"812_CR35","doi-asserted-by":"crossref","unstructured":"Shekhar S, Patel VM, Nasrabadi NM, Chellappa R (2012) Joint sparsity-based robust multimodal biometrics recognition. In: ECCV","DOI":"10.1007\/978-3-642-33885-4_37"},{"issue":"6","key":"812_CR36","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.1109\/TNN.2007.895831","volume":"18","author":"CJ Lin","year":"2007","unstructured":"Lin CJ (2007) On the convergence of multiplicative update algorithms for non-negative matrix factorization. IEEE Trans Neural Netw 18(6):1589\u20131596","journal-title":"IEEE Trans Neural Netw"},{"issue":"8","key":"812_CR37","doi-asserted-by":"publisher","first-page":"1548","DOI":"10.1109\/TPAMI.2010.231","volume":"33","author":"D Cai","year":"2011","unstructured":"Cai D, He X, Han J, Huang TS (2011) Graph regularized non-negative matrix factorization for data representation. IEEE Trans Pattern Anal Mach Intell 33(8):1548\u20131560","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"812_CR38","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1109\/TNNLS.2012.2197827","volume":"23","author":"N Guan","year":"2012","unstructured":"Guan N, Tao D, Luo Z, Yuan B (2012) Online non-negative matrix factorization with robust stochastic approximation. IEEE Trans Neural Netw Learn 23(7):1087\u20131099","journal-title":"IEEE Trans Neural Netw Learn"},{"issue":"5","key":"812_CR39","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1016\/j.patcog.2008.09.002","volume":"42","author":"SS Bucak","year":"2009","unstructured":"Bucak SS, Gunsel B (2009) Incremental subspace learning via non-negative matrix factorization. Patt Recognit 42(5):788\u2013797","journal-title":"Patt Recognit"},{"issue":"4","key":"812_CR40","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1109\/TNN.2011.2109396","volume":"22","author":"G Zhou","year":"2011","unstructured":"Zhou G, Yang Z, Xie S, Yang J-M (2011) Online blind source separation using incremental non-negative matrix factorization with volume constraint. IEEE Trans Neural Netw 22(4):550\u2013560","journal-title":"IEEE Trans Neural Netw"},{"key":"812_CR41","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1016\/j.neucom.2013.12.025","volume":"136","author":"YZ Qian","year":"2014","unstructured":"Qian YZ, Xu Z (2014) Visual tracking with structural appearance model based on extended incremental non-negative matrix factorization. Neurocomputing 136:327\u2013336","journal-title":"Neurocomputing"},{"issue":"6","key":"812_CR42","doi-asserted-by":"publisher","first-page":"1608","DOI":"10.1016\/j.sigpro.2012.07.015","volume":"93","author":"D Wang","year":"2013","unstructured":"Wang D, Lu HC (2013) On-line learning parts-based representation via incremental orthogonal projective non-negative matrix factorization. Signal Process 93(6):1608\u20131623","journal-title":"Signal Process"},{"key":"812_CR43","doi-asserted-by":"crossref","unstructured":"Liu F, Zhou T, Fu K, Gu IYH, Yang J (2016) Robust visual tracking via inverse nonnegative matrix factorization. In: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 1491\u20131495","DOI":"10.1109\/ICASSP.2016.7471925"},{"key":"812_CR44","unstructured":"Jalali A, Sanghavi S, Ruan C, Ravikumar PK (2010) A dirty model for multi-task learning. In: Advances in neural information processing systems, pp 964\u2013972"},{"key":"812_CR45","doi-asserted-by":"crossref","unstructured":"Wang D, Lu H, Yang M-H (2013) Least soft-threshold squares tracking. In: CVPR, pp 2371\u20132378","DOI":"10.1109\/CVPR.2013.307"},{"issue":"8","key":"812_CR46","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1109\/TCSVT.2013.2291355","volume":"24","author":"Z Xiao","year":"2014","unstructured":"Xiao Z, Huchuan L, Wang D (2014) L2-RLS-based object tracking. IEEE Trans Circuits Syst Video Technol 24(8):1301\u20131309","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"812_CR47","unstructured":"Everingham M, Van Gool L, Williams CKI, Winn J, Zisserman A (2010) The PASCAL visual object classes challenge 2010 (VOC2010) results"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-019-00812-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-019-00812-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-019-00812-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,28]],"date-time":"2020-03-28T00:14:43Z","timestamp":1585354483000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-019-00812-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,29]]},"references-count":47,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["812"],"URL":"https:\/\/doi.org\/10.1007\/s10044-019-00812-4","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"type":"print","value":"1433-7541"},{"type":"electronic","value":"1433-755X"}],"subject":[],"published":{"date-parts":[[2019,3,29]]},"assertion":[{"value":"26 March 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 March 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}