{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:41:55Z","timestamp":1761648115589},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2013,9,28]],"date-time":"2013-09-28T00:00:00Z","timestamp":1380326400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2015,2]]},"DOI":"10.1007\/s11042-013-1709-0","type":"journal-article","created":{"date-parts":[[2013,9,27]],"date-time":"2013-09-27T02:51:04Z","timestamp":1380250264000},"page":"1021-1043","source":"Crossref","is-referenced-by-count":6,"title":["Robust visual tracking based on structured sparse representation model"],"prefix":"10.1007","volume":"74","author":[{"given":"Hanling","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaobo","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,9,28]]},"reference":[{"key":"1709_CR1","doi-asserted-by":"crossref","unstructured":"Adam A, Rivlin E, Shimshoni I (2006) Robust fragments-based tracking using the integral histogram. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 17\u201322 June 2006, pp 798\u2013805","DOI":"10.1109\/CVPR.2006.256"},{"issue":"2","key":"1709_CR2","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1109\/TPAMI.2007.35","volume":"29","author":"S Avidan","year":"2007","unstructured":"Avidan S (2007) Ensemble tracking. IEEE Trans Pattern Anal Mach Intell 29(2):261\u2013271","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1709_CR3","doi-asserted-by":"crossref","unstructured":"Babenko B, Yang M-H, Belongie S (2009) Visual tracking with online multiple instance learning. In: 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), 18 June 2009, pp 983\u2013990","DOI":"10.1109\/CVPR.2009.5206737"},{"issue":"8","key":"1709_CR4","doi-asserted-by":"crossref","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":"1709_CR5","doi-asserted-by":"crossref","unstructured":"Birchfield S (1998) Elliptical head tracking using intensity gradients and color histograms. In: IEEE Conference on Computer Vision and Pattern Recognition, 23\u201325 Jun 1998, pp 232\u2013237","DOI":"10.1109\/CVPR.1998.698614"},{"issue":"1","key":"1709_CR6","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1023\/A:1007939232436","volume":"26","author":"MJ Black","year":"1998","unstructured":"Black MJ, Jepson AD (1998) Eigentracking: Robust matching and tracking of articulated objects using a view-based representation. Int J Comput Vis 26(1):63\u201384","journal-title":"Int J Comput Vis"},{"key":"1709_CR7","unstructured":"CAVIAR. http:\/\/groups.inf.ed.ac.uk\/vision\/CAVIAR\/CAVIARDATA1\/ ."},{"key":"1709_CR8","unstructured":"Chen J, Shan S, Yan S, Chen X, Gao W (2006) Modification of the AdaBoost-based detector for partially occluded faces. In: 18th International Conference on Pattern Recognition (ICPR 2006), 20\u201324 August 2006, pp 516\u2013519"},{"issue":"10","key":"1709_CR9","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1109\/TPAMI.2005.205","volume":"27","author":"R Collins","year":"2005","unstructured":"Collins R, Liu Y, Leordeanu M (2005) Online selection of discriminative tracking features. IEEE Trans Pattern Anal Mach Intell 27(10):1631\u20131643","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"1709_CR10","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1109\/TPAMI.2003.1195991","volume":"25","author":"D Comaniciu","year":"2003","unstructured":"Comaniciu D, Member VR (2003) Kernel-based object tracking. IEEE Trans Pattern Anal Mach Intell 25(5):564\u2013575","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"1709_CR11","doi-asserted-by":"crossref","first-page":"3042","DOI":"10.1109\/TSP.2010.2044837","volume":"58","author":"YC Eldar","year":"2010","unstructured":"Eldar YC, Kuppinger P, Bolcskei H (2010) Block-sparse signals: uncertainty relations and efficient recovery. IEEE Trans Sig Proc 58(6):3042\u20133054","journal-title":"IEEE Trans Sig Proc"},{"issue":"2","key":"1709_CR12","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham M, Van Gool L, Williams C, Winn J, Zis-serman A (2010) The pascal visual object classes (voc) challenge. Int J Comput Vis 88(2):303\u2013338","journal-title":"Int J Comput Vis"},{"key":"1709_CR13","unstructured":"Grabner H, Grabner M, Bischof H (2006) Real-time tracking via online boosting. In: British Machine Vision Association (BMVC), pp 47\u201356"},{"key":"1709_CR14","doi-asserted-by":"crossref","unstructured":"Grabner H, Leistner C, Bischof H (2008) Semi-supervised on-line boosting for robust tracking. In: Proc. The 10th European Conference on Computer Vision (ECCV), pp. 234\u2013247","DOI":"10.1007\/978-3-540-88682-2_19"},{"key":"1709_CR15","doi-asserted-by":"crossref","unstructured":"Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang (2012) Real-time compressive tracking. In: Proc. The 12th European Conference on Computer Vision (ECCV), pp. 864\u2013877","DOI":"10.1007\/978-3-642-33712-3_62"},{"key":"1709_CR16","doi-asserted-by":"crossref","unstructured":"Kalal Z, Matas J, Mikolajczyk K (2010) P-n learning: bootstrapping binary classifier by structural constraints. IEEE Conference on Computer Vision and Pattern Recognition, pp 49\u201356","DOI":"10.1109\/CVPR.2010.5540231"},{"key":"1709_CR17","doi-asserted-by":"crossref","unstructured":"Kwon J, Lee KM (2010) Visual tracking decomposition. IEEE Conference on Computer Vision and Pattern Recognition, pp 1269\u20131276","DOI":"10.1109\/CVPR.2010.5539821"},{"issue":"10","key":"1709_CR18","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1109\/TPAMI.2008.73","volume":"30","author":"Y Li","year":"2008","unstructured":"Li Y, Ai H, Yamashita T, Lao S, Kawade M (2008) Tracking in low frame rate video: a cascade particle filter with discriminative observers of different life spans. IEEE Trans Pattern Anal Mach Intell 30(10):1728\u20131740","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1709_CR19","doi-asserted-by":"crossref","unstructured":"Li H, Shen C, Shi Q (2011) Real-time visual tracking using compressive sensing. IEEE Conference on Computer Vision and Pattern Recognition, pp 1305\u20131312","DOI":"10.1109\/CVPR.2011.5995483"},{"key":"1709_CR20","doi-asserted-by":"crossref","unstructured":"Liu B, Huang J, Yang L, Kulikowski CA (2011) Robust tracking using local sparse appearance model and k-selection. IEEE Conference on Computer Vision and Pattern Recognition, pp 1313\u20131320","DOI":"10.1109\/CVPR.2011.5995730"},{"key":"1709_CR21","doi-asserted-by":"crossref","unstructured":"Liu B, Yang L, Huang J, Meer P, Gong L, Kulikowski C (2010) Robust and fast collaborative tracking with two stage sparse optimization. In: Proc. The 11th European Conference on Computer Vision (ECCV), pp.624\u2013637","DOI":"10.1007\/978-3-642-15561-1_45"},{"issue":"5","key":"1709_CR22","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1109\/TPAMI.2004.16","volume":"26","author":"I Matthews","year":"2004","unstructured":"Matthews I, Ishikawa T, Baker S (2004) The template update problem. IEEE Trans Pattern Anal Mach Intell 26(5):810\u2013815","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1709_CR23","unstructured":"Mei X, Ling H (2009) Robust visual tracking using L1 minimization. In Proceedings of the International Conference on Computer Vision, pp 1436\u20131443"},{"key":"1709_CR24","unstructured":"Mei X, Ling H, Wu Y, Blasch E, Bai L (2011) Minimum error bounded efficient L1 tracker with occlusion detection. IEEE Conf Comput Vis Pattern Recognit, pp. 1257\u20131264"},{"key":"1709_CR25","doi-asserted-by":"crossref","unstructured":"P\u00e9rez P, Hue C, Vermaak J (2002) Color-based probabilistic tracking. In: Proc. The 7th European Conference on Computer Vision (ECCV), pp. 661\u2013675","DOI":"10.1007\/3-540-47969-4_44"},{"issue":"1","key":"1709_CR26","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"D Ross","year":"2008","unstructured":"Ross D, Lim J, Lin R-S, Yang M-H (2008) Incremental learning for robust visual tracking. Int J Comput Vis 77(1):125\u2013141","journal-title":"Int J Comput Vis"},{"key":"1709_CR27","doi-asserted-by":"crossref","unstructured":"Santner J, Leistner C, Saffari A, Pock T, Bischof H (2010) PROST: parallel robust online simple tracking. IEEE Conf Comput Vis Pattern Recognit, pp.723\u2013730","DOI":"10.1109\/CVPR.2010.5540145"},{"key":"1709_CR28","doi-asserted-by":"crossref","unstructured":"Wang S, Chen F, Xu W, Yang M (2012) Online discriminative object tracking with local sparse representation. IEEE Workshop on Applications of Computer Vision (WACV), pp.425\u2013432","DOI":"10.1109\/WACV.2012.6162999"},{"key":"1709_CR29","doi-asserted-by":"crossref","unstructured":"Wang X, Han TX, Yan S (2009) An HOG-LBP human detector with partial occlusion handling. IEEE Int. Conf. on Computer Vision (ICCV), pp.32\u201339","DOI":"10.1109\/ICCV.2009.5459207"},{"issue":"1","key":"1709_CR30","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1109\/TIP.2012.2202677","volume":"22","author":"D Wang","year":"2013","unstructured":"Wang D, Huchuan L, Yang M (2013) Online object tracking with sparse prototypes. IEEE Trans Image Process 22(1):314\u2013325","journal-title":"IEEE Trans Image Process"},{"key":"1709_CR31","unstructured":"Wang S, Lu H, Yang F, Yang M-H (2011) Superpixel tracking. IEEE Conf Computer Vision, pp.1323\u20131330"},{"key":"1709_CR32","doi-asserted-by":"crossref","unstructured":"Wei Zhong, Huchuan Lu, Ming-Hsuan Yang (2012) Robust object tracking via sparsity-based collaborative model. IEEE Conf Comput Vis Pattern Recognit, pp. 1838\u20131845","DOI":"10.1109\/CVPR.2012.6247882"},{"issue":"2","key":"1709_CR33","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1049\/el.2012.2286","volume":"49","author":"H Zhang","year":"2013","unstructured":"Zhang H, Liu L (2013) Recovering low-rank and sparse components of matrices for object detection. Electron Lett 49(2):109\u2013111","journal-title":"Electron Lett"},{"key":"1709_CR34","doi-asserted-by":"crossref","unstructured":"Zhang S, Yao H, Sun X, Liu S (2010) Robust object tracking based on sparse representation. SPIE Int. Conf. on Visual Communication and Image Processing (VCIP), 77441N\u20131\u20138","DOI":"10.1117\/12.863437"},{"issue":"7","key":"1709_CR35","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1016\/j.patcog.2012.10.006","volume":"46","author":"S Zhang","year":"2013","unstructured":"Zhang S, Yao H, Sun X, Lu X (2013) Sparse coding based visual tracking: review and experimental comparison. Pattern Recogn 46(7):1772\u20131788","journal-title":"Pattern Recogn"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-013-1709-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-013-1709-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-013-1709-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T23:07:01Z","timestamp":1564096021000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-013-1709-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,9,28]]},"references-count":35,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2015,2]]}},"alternative-id":["1709"],"URL":"https:\/\/doi.org\/10.1007\/s11042-013-1709-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,9,28]]}}}