{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:51:42Z","timestamp":1740160302790,"version":"3.37.3"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,8,23]],"date-time":"2017-08-23T00:00:00Z","timestamp":1503446400000},"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":"publisher","award":["61201429","61362030"],"award-info":[{"award-number":["61201429","61362030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2015M581720","2016M600360"],"award-info":[{"award-number":["2015M581720","2016M600360"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Postdoctoral Science Foundation","award":["1601216C"],"award-info":[{"award-number":["1601216C"]}]},{"name":"Technology Research Project of the Ministry of Public Security of China","award":["2014JSYJB007"],"award-info":[{"award-number":["2014JSYJB007"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s13042-017-0709-1","type":"journal-article","created":{"date-parts":[[2017,8,23]],"date-time":"2017-08-23T07:04:01Z","timestamp":1503471841000},"page":"215-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Collaborative model with adaptive selection scheme for visual tracking"],"prefix":"10.1007","volume":"10","author":[{"given":"Tianshan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Jun","family":"Kong","sequence":"additional","affiliation":[]},{"given":"Min","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Chenhua","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaofeng","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Xiaofeng","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,23]]},"reference":[{"issue":"4","key":"709_CR1","doi-asserted-by":"publisher","first-page":"81","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):81\u201393","journal-title":"Acm Comput Surv"},{"issue":"4","key":"709_CR2","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1145\/2508037.2508039","volume":"4","author":"X Li","year":"2013","unstructured":"Li X et al. (2013) A survey of appearance models in visual object tracking. Acm Trans Intell Syst Technol 4(4):478\u2013488","journal-title":"Acm Trans Intell Syst Technol"},{"issue":"2","key":"709_CR3","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1109\/TPAMI.2007.35","volume":"29","author":"S Avidan","year":"2007","unstructured":"Avidan S, Ensemble tracking (2007) IEEE Trans Pattern Anal Mach Intell 29(2):261\u2013271","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"709_CR4","doi-asserted-by":"crossref","unstructured":"Grabner H, Bischof H (2006) On-line boosting and vision. In: IEEE computer society conference on computer vision and pattern recognition, pp\u00a0260\u2013267","DOI":"10.1109\/CVPR.2006.215"},{"key":"709_CR5","doi-asserted-by":"crossref","unstructured":"Grabner H, Leistner C, Bischof H (2008) Semi-supervised on-line boosting for robust tracking. In: European conference on computer vision, pp\u00a0234\u2013247","DOI":"10.1007\/978-3-540-88682-2_19"},{"issue":"8","key":"709_CR6","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1109\/TPAMI.2010.226","volume":"33","author":"B Babenko","year":"2011","unstructured":"Babenko B, Yang MH, 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"},{"issue":"7","key":"709_CR7","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1109\/TPAMI.2011.239","volume":"34","author":"Z Kalal","year":"2012","unstructured":"Kalal Z, Mikolajczyk K, Matas J (2012) Tracking-learning-detection. IEEE Trans Pattern Anal Mach Intell 34(7):1409\u20131422","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"709_CR8","doi-asserted-by":"publisher","first-page":"2288","DOI":"10.1109\/TIP.2011.2114895","volume":"20","author":"N Jiang","year":"2011","unstructured":"Jiang N, Liu W, Wu Y (2011) Learning adaptive metric for robust visual tracking. IEEE Trans Image Process 20(8):2288\u20132300","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"709_CR9","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1109\/TIP.2014.2308414","volume":"23","author":"Zhuang","year":"2014","unstructured":"Zhuang, Lu H, Xiao Z (2014) Visual tracking via discriminative sparse similarity map. IEEE Trans Image Process 23(4):1872\u20131881","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"709_CR10","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/s13042-015-0334-9","volume":"6","author":"G Wu","year":"2015","unstructured":"Wu G, Zhao C, Lu W et al (2015) Efficient structured L1 tracker based on laplacian error distribution. Int J Mach Learn Cybern 6(4):581\u2013595","journal-title":"Int J Mach Learn Cybern"},{"key":"709_CR11","doi-asserted-by":"crossref","unstructured":"Adam A, Rivlin E, Shimshoni I (2006) Robust fragments-based tracking using the integral histogram. In: IEEE computer society conference on computer vision and pattern recognition, pp\u00a0798\u2013805","DOI":"10.1109\/CVPR.2006.256"},{"issue":"1\u20133","key":"709_CR12","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"J Ross","year":"2008","unstructured":"Ross J, Lim J, Lin RS, Yang M (2008) Incremental learning for robust visual tracking. Int J Comput Vision 77(1\u20133):125\u2013141","journal-title":"Int J Comput Vision"},{"key":"709_CR13","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.neucom.2016.03.100","volume":"213","author":"J Kong","year":"2016","unstructured":"Kong J, Liu C, Jiang M, Wu J, Tian S, Lai H (2016) Generalized \u2113\n                           P-regularized representation for visual tracking. Neurocomputing 213:155\u2013161","journal-title":"Neurocomputing"},{"key":"709_CR14","unstructured":"Mei X, Ling H (2009) Robust visual tracking using L1 minimization. In: IEEE international conference on computer vision, pp\u00a01436\u20131443"},{"key":"709_CR15","unstructured":"Bao C, Wu Y, Ling H, Ji H (2012) Real time robust L1 tracker using accelerated proximal gradient approach. In: Proceedings of IEEE conference on computer vision and pattern recognition, pp\u00a01830\u20131837"},{"issue":"1","key":"709_CR16","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/TIP.2012.2202677","volume":"22","author":"Wang","year":"2013","unstructured":"Wang, Lu H, Yang M-H (2013) Online object tracking with sparse prototypes. IEEE Trans Image Process 22(1):314\u2013325","journal-title":"IEEE Trans Image Process"},{"key":"709_CR17","unstructured":"Jia X, Lu H, Yang M (2012) Visual tracking via adaptive structural local sparse appearance model. In: Proceedings of IEEE conference on computer vision and pattern recognition, pp\u00a01822\u20131829"},{"issue":"1","key":"709_CR18","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1109\/TII.2013.2247613","volume":"10","author":"H Liu","year":"2014","unstructured":"Liu H, Yuan M, Sun F, Zhang J (2014) Spatial neighborhood-constrained linear coding for visual object tracking. IEEE Trans Ind Inf 10(1):469\u2013480","journal-title":"IEEE Trans Ind Inf"},{"issue":"2","key":"709_CR19","first-page":"1459","volume":"30","author":"R Liu","year":"2009","unstructured":"Liu R, Cheng J, Lu H (2009) A robust boosting tracker with minimum error bound in a co-training framework. Proceedings 30(2):1459\u20131466.","journal-title":"Proceedings"},{"key":"709_CR20","doi-asserted-by":"crossref","unstructured":"Dinh TB, Medioni GG (2011) Co-training framework of generative and discriminative trackers with partial occlusion handling. In: IEEE workshop on the applications of computer vision, pp\u00a0642\u2013649.","DOI":"10.1109\/WACV.2011.5711565"},{"issue":"5","key":"709_CR21","doi-asserted-by":"publisher","first-page":"2356","DOI":"10.1109\/TIP.2014.2313227","volume":"23","author":"W Zhong","year":"2014","unstructured":"Zhong W, Lu H, Yang M (2014) Robust object tracking via sparse collaborative appearance model. IEEE Trans Image Process 23(5):2356\u20132368","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"709_CR22","doi-asserted-by":"publisher","first-page":"023005","DOI":"10.1117\/1.JEI.25.2.023005","volume":"25","author":"L Zhao","year":"2016","unstructured":"Zhao L, Zhao Q, Chen Y, Lv P (2016) Combined discriminative global and generative local models for visual tracking. J Electron Imaging 25(2):023005","journal-title":"J Electron Imaging"},{"key":"709_CR23","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\u00a0425\u2013432.","DOI":"10.1109\/WACV.2012.6162999"},{"issue":"2","key":"709_CR24","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/s11263-012-0582-z","volume":"101","author":"T Zhang","year":"2013","unstructured":"Zhang T, Ghanem B, Liu S, Ahuja N (2013) Robust visual tracking via structured multi-task sparse learning. Int J Comput Vis 101(2):367\u2013383","journal-title":"Int J Comput Vis"},{"key":"709_CR25","doi-asserted-by":"crossref","unstructured":"Zhang T, Ghanem B, Liu S, Ahuja N (2012) Low-rank sparse learning for robust visual tracking. In: European conference on computer vision, pp\u00a02042\u20132049","DOI":"10.1007\/978-3-642-33783-3_34"},{"issue":"9","key":"709_CR26","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1109\/TCSVT.2015.2462012","volume":"26","author":"D Wang","year":"2016","unstructured":"Wang D, Lu H, Yang M (2016) Robust visual tracking via least soft-threshold squares. IEEE Trans Circuits Syst Video Technol 26(9):1709\u20131721","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"12","key":"709_CR27","doi-asserted-by":"publisher","first-page":"5166","DOI":"10.1109\/TIP.2015.2478399","volume":"24","author":"D Wang","year":"2015","unstructured":"Wang D, Lu H, Bo C (2015) Fast and robust object tracking via probability continuous outlier model. IEEE Trans Image Process 24(12):5166\u20135176","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"709_CR28","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1137\/070698920","volume":"19","author":"T Hale","year":"2008","unstructured":"Hale T, Yin W, Zhang Y (2008) Fixed-point continuation for \u21131-minimization: methodology and convergence. Siam J Optim 19(3):1107\u20131130","journal-title":"Siam J Optim"},{"issue":"9","key":"709_CR29","doi-asserted-by":"publisher","first-page":"1838","DOI":"10.1109\/TCYB.2014.2360924","volume":"45","author":"D Wang","year":"2014","unstructured":"Wang D, Lu H, Bo C, Visual (2014) Tracking via weighted local cosine similarity. IEEE Trans Cybern 45(9):1838\u20131850","journal-title":"IEEE Trans Cybern"},{"issue":"8","key":"709_CR30","doi-asserted-by":"publisher","first-page":"1301","DOI":"10.1109\/TCSVT.2013.2291355","volume":"24","author":"Z Xiao","year":"2014","unstructured":"Xiao Z, Lu H, 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":"709_CR31","doi-asserted-by":"crossref","unstructured":"Pan J, Lim J, Su Z, Yang M (2014) L0-regularized object representation for visual tracking. In: Proceedings British machine vision conference","DOI":"10.5244\/C.28.29"},{"issue":"2","key":"709_CR32","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham M, Van Gool L, C. K. I. Williams, Winn J, Zisserman A (2010) The pascal visual object classes (voc) challenge. Int J Comput Vis 88(2):303\u2013338","journal-title":"Int J Comput Vis"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-017-0709-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0709-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0709-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,6]],"date-time":"2019-02-06T08:43:26Z","timestamp":1549442606000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-017-0709-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,23]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["709"],"URL":"https:\/\/doi.org\/10.1007\/s13042-017-0709-1","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2017,8,23]]},"assertion":[{"value":"4 January 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}