{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:20:51Z","timestamp":1740108051993,"version":"3.37.3"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T00:00:00Z","timestamp":1469577600000},"content-version":"unspecified","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":["61301207","61371178"],"award-info":[{"award-number":["61301207","61371178"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004602","name":"Program for New Century Excellent Talents in University","doi-asserted-by":"publisher","award":["NCET-13-0168"],"award-info":[{"award-number":["NCET-13-0168"]}],"id":[{"id":"10.13039\/501100004602","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1007\/s00521-016-2460-z","type":"journal-article","created":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T08:39:35Z","timestamp":1469608775000},"page":"469-481","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hierarchical search strategy in particle filter framework to track infrared target"],"prefix":"10.1007","volume":"29","author":[{"given":"Zhen","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang\u2019an","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junbao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ping","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shouda","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,7,27]]},"reference":[{"issue":"11","key":"2460_CR1","doi-asserted-by":"crossref","first-page":"20297","DOI":"10.3390\/s141120297","volume":"14","author":"A Sanna","year":"2014","unstructured":"Sanna A, Lamberti F (2014) Advances in target detection and tracking in forward-looking infrared (flir) imagery. Sensors 14(11):20297\u2013303","journal-title":"Sensors"},{"key":"2460_CR2","doi-asserted-by":"crossref","unstructured":"Wu Y, Lim J, Yang MH (2013) Online object tracking: A benchmark. In: Proceedings of the IEEE conference on computer vision and pattern recognition. IEEE, pp 2411\u20132418","DOI":"10.1109\/CVPR.2013.312"},{"issue":"1","key":"2460_CR3","first-page":"674","volume":"81","author":"BD Lucas","year":"1981","unstructured":"Lucas BD, Kanade T (1981). An iterative image registration technique with an application to stereo vision. IJCAI 81(1):674\u2013679","journal-title":"IJCAI"},{"key":"2460_CR4","volume-title":"Discriminative spatial attention for robust tracking","author":"J Fan","year":"2010","unstructured":"Fan J, Wu Y, Dai S (2010) Discriminative spatial attention for robust tracking. Springer, Berlin"},{"key":"2460_CR5","doi-asserted-by":"crossref","unstructured":"Sevilla-Lara L, Learned-Miller E (2012) Distribution fields for tracking. In: Computer vision and pattern recognition (CVPR), 2012 IEEE conference on, IEEE, pp 1910\u20131917","DOI":"10.1109\/CVPR.2012.6247891"},{"issue":"5","key":"2460_CR6","first-page":"6","volume":"1","author":"H Grabner","year":"2006","unstructured":"Grabner H, Grabner M, Bischof H (2006) Real-time tracking via on-line boosting. British Machine Vision Conference 1(5):6","journal-title":"British Machine Vision Conference"},{"issue":"8","key":"2460_CR7","doi-asserted-by":"crossref","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"},{"key":"2460_CR8","doi-asserted-by":"crossref","unstructured":"Hare S, Saffari A, Torr PHS (2011) Struck: structured output tracking with kernels. In: Proceedings of the 2011 international conference on computer vision, pp 263\u2013270","DOI":"10.1109\/ICCV.2011.6126251"},{"issue":"2","key":"2460_CR9","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/78.978374","volume":"50","author":"M Arulampalam","year":"2002","unstructured":"Arulampalam M, Maskell S, Gordon N, Clapp T (2002) A tutorial on particle filters for online nonlinear\/non-gaussian bayesian tracking. IEEE Trans Signal Process 50(2):174\u2013188","journal-title":"IEEE Trans Signal Process"},{"key":"2460_CR10","doi-asserted-by":"crossref","unstructured":"Zhang J, Pan T-S, Pan J-S (2011) A parallel hybrid evolutionary particle filter for nonlinear state estimation. In: Robot, vision and signal processing (RVSP), 2011 first international conference on, IEEE, 2011, pp 308\u2013312","DOI":"10.1109\/RVSP.2011.77"},{"issue":"1\u20133","key":"2460_CR11","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"DA Ross","year":"2008","unstructured":"Ross DA, Lim J, Lin RS, Yang MH (2008) Incremental learning for robust visual tracking. Int J Comput Vis 77(1\u20133):125\u2013141","journal-title":"Int J Comput Vis"},{"key":"2460_CR12","doi-asserted-by":"crossref","unstructured":"Mei X, Ling H (2009) Robust visual tracking using $$\\ell _{1}$$ \u2113 1 minimization. In: Computer vision, 2009 IEEE 12th international conference on, IEEE, pp 1436\u20131443","DOI":"10.1109\/ICCV.2009.5459292"},{"key":"2460_CR13","doi-asserted-by":"crossref","unstructured":"Jia X (2012) Visual tracking via adaptive structural local sparse appearance model. In: 2012 IEEE conference on computer vision and pattern recognition, pp 1822\u20131829","DOI":"10.1109\/CVPR.2012.6247880"},{"key":"2460_CR14","doi-asserted-by":"crossref","unstructured":"Hou X, Zhang L (2007) Saliency detection: a spectral residual approach. In: 2013 IEEE conference on computer vision and pattern recognition, pp 1\u20138","DOI":"10.1109\/CVPR.2007.383267"},{"key":"2460_CR15","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.ins.2014.03.064","volume":"278","author":"MMN Ali","year":"2014","unstructured":"Ali MMN, Abdullah-Al-Wadud M, Lee SL (2014) Multiple object tracking with partial occlusion handling using salient feature points. Inf Sci 278:448\u2013465","journal-title":"Inf Sci"},{"issue":"3","key":"2460_CR16","first-page":"399","volume":"5","author":"L Zhou","year":"2014","unstructured":"Zhou L, Xu Y, Lu Z-M, Nie T (2014) Face recognition based on multi-wavelet and sparse representation. J Inf Hiding Multimed Signal Process 5(3):399\u2013407","journal-title":"J Inf Hiding Multimed Signal Process"},{"issue":"4","key":"2460_CR17","first-page":"690","volume":"5","author":"H-X Wang","year":"2014","unstructured":"Wang H-X, Lu Z-M, Zhang Y (2014) A sparse representation based super-resolution image reconstruction scheme utilizing dual dictionaries. J Inf Hiding Multimed Signal Process 5(4):690\u2013700","journal-title":"J Inf Hiding Multimed Signal Process"},{"issue":"4","key":"2460_CR18","first-page":"824","volume":"6","author":"X Xie","year":"2015","unstructured":"Xie X, Li B, Chai X (2015) Adaptive sparse kernel principal component analysis for computation and store space constrained-based feature extraction. J Inf Hiding Multimed Signal Process 6(4):824\u2013832","journal-title":"J Inf Hiding Multimed Signal Process"},{"issue":"19","key":"2460_CR19","doi-asserted-by":"crossref","first-page":"5825","DOI":"10.1016\/j.ijleo.2014.07.025","volume":"125","author":"Q Feng","year":"2014","unstructured":"Feng Q, Zhu X, Pan J-S (2014) Novel classification rule of two-phase test sample sparse representation. Opt Int J Light Electron Opt 125(19):5825\u20135832","journal-title":"Opt Int J Light Electron Opt"},{"key":"2460_CR20","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.neucom.2013.01.036","volume":"113","author":"Y Xu","year":"2013","unstructured":"Xu Y, Zhu Q, Fan Z, Wang Y, Pan J-S (2013) From the idea of sparse representation to a representation-based transformation method for feature extraction. Neurocomputing 113:168\u2013176","journal-title":"Neurocomputing"},{"key":"2460_CR21","doi-asserted-by":"crossref","unstructured":"Mei X, Ling H, Wu Y, Blasch E, Bai L (2011) Minimum error bounded efficient l1 tracker with occlusion detection. In: Computer vision and pattern recognition (CVPR), 2011 IEEE conference on","DOI":"10.1109\/CVPR.2011.5995421"},{"key":"2460_CR22","unstructured":"Bao C, Wu Y, Ling H, Ji H (2012) Real time robust l1 tracker using accelerated proximal gradient approach. In: Computer vision and pattern recognition (CVPR), 2012 IEEE conference on, IEEE, pp 1830\u20131837"},{"key":"2460_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: Applications of computer vision (WACV), 2012 IEEE workshop on, IEEE, pp 425\u2013432","DOI":"10.1109\/WACV.2012.6162999"},{"key":"2460_CR24","doi-asserted-by":"crossref","unstructured":"Zhang T, Ghanem B, Liu S, Ahuja N (2012) Robust visual tracking via multi-task sparse learning. In: Computer vision and pattern recognition (CVPR), 2012 IEEE conference on, pp 2042\u20132049","DOI":"10.1109\/CVPR.2012.6247908"},{"issue":"5","key":"2460_CR25","doi-asserted-by":"crossref","first-page":"2356","DOI":"10.1109\/TIP.2014.2313227","volume":"23","author":"W Zhong","year":"2014","unstructured":"Zhong W, Lu H, Yang MH (2014) Robust object tracking via sparse collaborative appearance model. IEEE Trans Image Process 23(5):2356\u20132368","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"2460_CR26","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1002\/cpa.20132","volume":"59","author":"DL Donoho","year":"2004","unstructured":"Donoho DL (2004) For most large underdetermined systems of linear equations the minimal $$\\ell _{1}$$ \u2113 1 -norm solution is also the sparsest solution. Commun Pure Appl Math 59(6):797\u2013829","journal-title":"Commun Pure Appl Math"},{"issue":"1","key":"2460_CR27","first-page":"19","volume":"11","author":"J Mairal","year":"2010","unstructured":"Mairal J, Bach F, Ponce J, Sapiro G (2010) Online learning for matrix factorization and sparse coding. J Mach Learn Res 11(1):19\u201360","journal-title":"J Mach Learn Res"},{"key":"2460_CR28","unstructured":"Sato K, Sekiguchi S, Fukumori T, Kawagishi N, Akamastu Y, Enomoto Y, Iwane T, Fujimori K, Sato A, Satomi S (2009) Beyond semi-supervised tracking: tracking should be as simple as detection, but not simpler than recognition. In: Computer vision workshops (ICCV Workshops), 2009 IEEE 12th international conference on, pp 1409\u20131416"},{"issue":"1","key":"2460_CR29","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1007\/978-3-642-33765-9_50","volume":"7575","author":"JF Henriques","year":"2012","unstructured":"Henriques JF, Rui C, Martins P, Batista J (2012) Exploiting the circulant structure of tracking-by-detection with kernels. Lect Notes Comput Sci 7575(1):702\u2013715","journal-title":"Lect Notes Comput Sci"},{"key":"2460_CR30","doi-asserted-by":"crossref","unstructured":"Zhang K, Zhang L, Yang M-H (2012) Real-time compressive tracking. In: Computer vision\u2014ECCV 2012, Springer, Berlin, pp 864\u2013877","DOI":"10.1007\/978-3-642-33712-3_62"},{"key":"2460_CR31","doi-asserted-by":"crossref","unstructured":"Adam A, Rivlin E, Shimshoni I (2006) Robust fragments-based tracking using the integral histogram. In: Computer vision and pattern recognition, 2006 IEEE Computer Society Conference on, vol 1, IEEE, pp 798\u2013805","DOI":"10.1109\/CVPR.2006.256"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2460-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2460-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2460-z","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2460-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T16:07:03Z","timestamp":1568218023000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2460-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7,27]]},"references-count":31,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["2460"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2460-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2016,7,27]]}}}