{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T04:07:25Z","timestamp":1751515645800,"version":"3.41.0"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2018,3,7]],"date-time":"2018-03-07T00:00:00Z","timestamp":1520380800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100005270","name":"Fujian Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["2015H0021"],"award-info":[{"award-number":["2015H0021"]}],"id":[{"id":"10.13039\/501100005270","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":[[2019,10]]},"DOI":"10.1007\/s00521-018-3387-3","type":"journal-article","created":{"date-parts":[[2018,3,7]],"date-time":"2018-03-07T16:24:46Z","timestamp":1520439886000},"page":"5917-5934","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Object tracking in the presence of shaking motions"],"prefix":"10.1007","volume":"31","author":[{"given":"Manna","family":"Dai","sequence":"first","affiliation":[]},{"given":"Shuying","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Xiangjian","family":"He","sequence":"additional","affiliation":[]},{"given":"Dadong","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,7]]},"reference":[{"key":"3387_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. IEEE, vol\u00a01, pp 798\u2013805","DOI":"10.1109\/CVPR.2006.256"},{"issue":"8","key":"3387_CR2","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"},{"key":"3387_CR3","unstructured":"Bao C, Wu Y, Ling H, Ji H (2012) Real time robust l1 tracker using accelerated proximal gradient approach. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 1830\u20131837"},{"key":"3387_CR4","first-page":"401","volume":"7","author":"A Bhattacharyya","year":"1946","unstructured":"Bhattacharyya A (1946) On a measure of divergence between two multinomial populations. Sankhy\u0101 Indian J Stat 7:401\u2013406","journal-title":"Sankhy\u0101 Indian J Stat"},{"issue":"1","key":"3387_CR5","doi-asserted-by":"publisher","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":"3387_CR6","unstructured":"\u010cehovin L, Leonardis A, Kristan M (2016) Robust visual tracking using template anchors. In: 2016 IEEE winter conference on applications of computer vision (WACV). IEEE, pp 1\u20138"},{"key":"3387_CR7","unstructured":"Cuevas E, Zaldivar D, Rojas R (2005) Kalman filter for vision tracking"},{"key":"3387_CR8","unstructured":"Dai M, Cheng S, He X (2016) Hybrid generative\u2013discriminative hash tracking with spatio-temporal contextual cues. Neural Comput Appl, pp 1\u201311"},{"key":"3387_CR9","doi-asserted-by":"crossref","unstructured":"Dai M, Lin P, Wu L, Chen Z, Lai S, Zhang J, Cheng S, He X (2015) Orderless and blurred visual tracking via spatio-temporal context. In: MultiMedia modeling. Springer, pp 25\u201336","DOI":"10.1007\/978-3-319-14445-0_3"},{"key":"3387_CR10","doi-asserted-by":"publisher","first-page":"1561","DOI":"10.1109\/TPAMI.2016.2609928","volume":"39","author":"M Danelljan","year":"2016","unstructured":"Danelljan M, Hager G, Khan FS, Felsberg M (2016) Discriminative scale space tracking. IEEE Trans Pattern Anal Mach Intell 39:1561\u20131575","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3387_CR11","doi-asserted-by":"crossref","unstructured":"Danelljan M, Hager G, Shahbaz\u00a0Khan F, Felsberg M (2015) Learning spatially regularized correlation filters for visual tracking. In: Proceedings of the IEEE international conference on computer vision, pp 4310\u20134318","DOI":"10.1109\/ICCV.2015.490"},{"key":"3387_CR12","doi-asserted-by":"crossref","unstructured":"Danelljan M, Khan FS, Felsberg M, Weijer Jvd (2014) Adaptive color attributes for real-time visual tracking. In: 2014 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 1090\u20131097","DOI":"10.1109\/CVPR.2014.143"},{"key":"3387_CR13","doi-asserted-by":"crossref","unstructured":"Grabner H, Leistner C, Bischof H (2008) Semi-supervised on-line boosting for robust tracking. In: Computer vision\u2013ECCV 2008. Springer, pp 234\u2013247","DOI":"10.1007\/978-3-540-88682-2_19"},{"issue":"2","key":"3387_CR14","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1002\/j.1538-7305.1950.tb00463.x","volume":"29","author":"RW Hamming","year":"1950","unstructured":"Hamming RW (1950) Error detecting and error correcting codes. Bell Syst Techn J 29(2):147\u2013160","journal-title":"Bell Syst Techn J"},{"issue":"10","key":"3387_CR15","doi-asserted-by":"publisher","first-page":"2096","DOI":"10.1109\/TPAMI.2015.2509974","volume":"38","author":"S Hare","year":"2016","unstructured":"Hare S, Golodetz S, Saffari A, Vineet V, Cheng MM, Hicks SL, Torr PH (2016) Struck: structured output tracking with kernels. IEEE Trans Pattern Anal Mach Intell 38(10):2096\u20132109","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3387_CR16","doi-asserted-by":"crossref","unstructured":"Hare S, Saffari A, Torr PH (2011) Struck: structured output tracking with kernels. In: 2011 IEEE international conference on computer vision (ICCV). IEEE, pp 263\u2013270","DOI":"10.1109\/ICCV.2011.6126251"},{"key":"3387_CR17","doi-asserted-by":"crossref","unstructured":"Henriques JF, Caseiro R, Martins P, Batista J (2012) Exploiting the circulant structure of tracking-by-detection with kernels. In: Computer vision\u2013ECCV 2012. Springer, pp 702\u2013715","DOI":"10.1007\/978-3-642-33765-9_50"},{"issue":"10","key":"3387_CR18","doi-asserted-by":"publisher","first-page":"1296","DOI":"10.1109\/TPAMI.2003.1233903","volume":"25","author":"AD Jepson","year":"2003","unstructured":"Jepson AD, Fleet DJ, El-Maraghi TF (2003) Robust online appearance models for visual tracking. IEEE Trans Pattern Anal Mach Intell 25(10):1296\u20131311","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3387_CR19","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1109\/9.847726","volume":"45","author":"SJ Julier","year":"1996","unstructured":"Julier SJ, Uhlmann JK, Durrant-Whyte HF (1996) A new approach for the nonlinear transformation of means and covariances in linear filters. IEEE Trans Autom Control 45:477\u2013482","journal-title":"IEEE Trans Autom Control"},{"key":"3387_CR20","doi-asserted-by":"crossref","unstructured":"Kalal Z, Matas J, Mikolajczyk K (2010) Pn learning: bootstrapping binary classifiers by structural constraints. In: 2010 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 49\u201356","DOI":"10.1109\/CVPR.2010.5540231"},{"issue":"3","key":"3387_CR21","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1016\/j.neuroimage.2011.03.029","volume":"56","author":"J Koikkalainen","year":"2011","unstructured":"Koikkalainen J, L\u00f6tj\u00f6nen J, Thurfjell L, Rueckert D, Waldemar G, Soininen H, Initiative ADN et al (2011) Multi-template tensor-based morphometry: application to analysis of Alzheimer\u2019s disease. NeuroImage 56(3):1134\u20131144","journal-title":"NeuroImage"},{"key":"3387_CR22","unstructured":"Kristan M, Matas J, Leonardis A, Felsberg M, Cehovin L, Fernandez G, Vojir T, Hager G, Nebehay G, Pflugfelder R (2015) The visual object tracking vot2015 challenge results. In: The IEEE international conference on computer vision (ICCV) workshops"},{"key":"3387_CR23","doi-asserted-by":"crossref","unstructured":"Kwon J, Lee KM (2010) Visual tracking decomposition. In: 2010 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 1269\u20131276","DOI":"10.1109\/CVPR.2010.5539821"},{"key":"3387_CR24","doi-asserted-by":"crossref","unstructured":"Kwon J, Lee, KM (2011) Tracking by sampling trackers. In: 2011 IEEE international conference on computer vision (ICCV). IEEE, pp 1195\u20131202","DOI":"10.1109\/ICCV.2011.6126369"},{"issue":"1","key":"3387_CR25","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.neucom.2012.07.003","volume":"99","author":"JB Lei","year":"2013","unstructured":"Lei JB, Yin JB, Shen HB (2013) Gfo: a data driven approach for optimizing the gaussian function based similarity metric in computational biology. Neurocomputing 99(1):307\u2013315","journal-title":"Neurocomputing"},{"issue":"2","key":"3387_CR26","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.imavis.2003.07.004","volume":"22","author":"P Li","year":"2004","unstructured":"Li P, Zhang T, Ma B (2004) Unscented kalman filter for visual curve tracking. Image Vis Comput 22(2):157\u2013164","journal-title":"Image Vis Comput"},{"issue":"6","key":"3387_CR27","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1109\/TMI.2016.2515021","volume":"35","author":"M Liu","year":"2016","unstructured":"Liu M, Zhang D, Shen D (2016) Relationship induced multi-template learning for diagnosis of alzheimers disease and mild cognitive impairment. IEEE Trans Med Imaging 35(6):1463\u20131474","journal-title":"IEEE Trans Med Imaging"},{"key":"3387_CR28","first-page":"49","volume":"2","author":"PC Mahalanobis","year":"1936","unstructured":"Mahalanobis PC (1936) On the generalized distance in statistics. Proc Natl Inst Sci (Calcutta) 2:49\u201355","journal-title":"Proc Natl Inst Sci (Calcutta)"},{"key":"3387_CR29","doi-asserted-by":"crossref","unstructured":"Mei X, Ling H (2009) Robust visual tracking using l1 minimization. In: 2009 IEEE 12th international conference on computer vision. IEEE, pp 1436\u20131443","DOI":"10.1109\/ICCV.2009.5459292"},{"issue":"10","key":"3387_CR30","doi-asserted-by":"publisher","first-page":"5052","DOI":"10.1002\/hbm.22531","volume":"35","author":"R Min","year":"2014","unstructured":"Min R, Wu G, Cheng J, Wang Q, Shen D (2014) Multi-atlas based representations for Alzheimer\u2019s disease diagnosis. Hum Brain Map 35(10):5052\u20135070","journal-title":"Hum Brain Map"},{"key":"3387_CR31","volume-title":"Stochastic models, estimation, and control","author":"S Models","year":"1979","unstructured":"Models S (1979) Stochastic models, estimation, and control. Academic Press, London"},{"key":"3387_CR32","doi-asserted-by":"crossref","unstructured":"Oron S, Bar-Hillel A, Levi D, Avidan S (2012) Locally orderless tracking. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 1940\u20131947","DOI":"10.1109\/CVPR.2012.6247895"},{"key":"3387_CR33","doi-asserted-by":"publisher","first-page":"3941","DOI":"10.1007\/s00521-016-2294-8","volume":"28","author":"OK Oyedotun","year":"2016","unstructured":"Oyedotun OK, Khashman A (2016) Deep learning in vision-based static hand gesture recognition. Neural Comput Appl 28:3941\u20133951","journal-title":"Neural Comput Appl"},{"issue":"1\u20133","key":"3387_CR34","doi-asserted-by":"publisher","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"},{"issue":"25","key":"3387_CR35","doi-asserted-by":"publisher","first-page":"1931","DOI":"10.1049\/el.2014.1911","volume":"50","author":"H Song","year":"2014","unstructured":"Song H (2014) Robust visual tracking via online informative feature selection. Electron Lett 50(25):1931\u20131933","journal-title":"Electron Lett"},{"key":"3387_CR36","doi-asserted-by":"crossref","unstructured":"Tomasi C, Manduchi R (1998) Bilateral filtering for gray and color images. In: Sixth international conference on computer vision. IEEE, pp 839\u2013846","DOI":"10.1109\/ICCV.1998.710815"},{"key":"3387_CR37","doi-asserted-by":"crossref","unstructured":"Julier SJ, Uhlmann JK (1997) A new extension of the kalman filter to nonlinear systems, vol 3068, pp 182\u2013193","DOI":"10.1117\/12.280797"},{"issue":"7","key":"3387_CR38","doi-asserted-by":"publisher","first-page":"1512","DOI":"10.1109\/TIP.2009.2019809","volume":"18","author":"J Weijer Van De","year":"2009","unstructured":"Van De Weijer J, Schmid C, Verbeek J, Larlus D (2009) Learning color names for real-world applications. IEEE Trans Image Process 18(7):1512\u20131523","journal-title":"IEEE Trans Image Process"},{"key":"3387_CR39","unstructured":"Wang N, Yeung DY (2013) Learning a deep compact image representation for visual tracking. In: Advances in neural information processing systems, pp 809\u2013817"},{"key":"3387_CR40","doi-asserted-by":"crossref","unstructured":"Wu Y, Lim J, Yang MH (2013) Online object tracking: a benchmark. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2411\u20132418","DOI":"10.1109\/CVPR.2013.312"},{"key":"3387_CR41","doi-asserted-by":"crossref","unstructured":"Wu Y, Lim J, Yang MH (2013) Online object tracking: a benchmark. In: 2013 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 2411\u20132418","DOI":"10.1109\/CVPR.2013.312"},{"key":"3387_CR42","doi-asserted-by":"crossref","unstructured":"Yang C, Duraiswami R, Davis L (2005) Efficient mean-shift tracking via a new similarity measure. In: 2005 IEEE Computer Society conference on computer vision and pattern recognition (CVPR\u201905). IEEE, vol\u00a01, pp 176\u2013183","DOI":"10.1109\/CVPR.2005.139"},{"issue":"4","key":"3387_CR43","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 (CSUR) 38(4):13","journal-title":"ACM Comput Surv (CSUR)"},{"key":"3387_CR44","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1109\/TII.2016.2605629","volume":"13","author":"H Zhang","year":"2016","unstructured":"Zhang H, Cao X, Ho JKL, Chow TWS (2016) Object-level video advertising: an optimization framework. IEEE Trans Ind Inf 13:520\u2013531","journal-title":"IEEE Trans Ind Inf"},{"issue":"4","key":"3387_CR45","doi-asserted-by":"crossref","first-page":"1779","DOI":"10.1109\/TED.2016.2529656","volume":"25","author":"K Zhang","year":"2016","unstructured":"Zhang K, Liu Q, Wu Y, Yang MH (2016) Robust visual tracking via convolutional networks without training. IEEE Trans Image Process 25(4):1779\u20131792","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"3387_CR46","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 Recogn 46(1):397\u2013411","journal-title":"Pattern Recogn"},{"key":"3387_CR47","doi-asserted-by":"crossref","unstructured":"Zhang K, Zhang L, Liu Q, Zhang D, Yang MH (2014) Fast visual tracking via dense spatio-temporal context learning. In: Computer Vision\u2013ECCV. Springer, pp 127\u2013141","DOI":"10.1007\/978-3-319-10602-1_9"},{"key":"3387_CR48","doi-asserted-by":"crossref","unstructured":"Zhang K, Zhang L, Yang MH (2012) Real-time compressive tracking. In: Computer vision\u2013ECCV 2012. Springer, pp 864\u2013877","DOI":"10.1007\/978-3-642-33712-3_62"},{"key":"3387_CR49","doi-asserted-by":"crossref","unstructured":"Zhou QH, Lu H, Yang MH (2011) Online multiple support instance tracking. In: 2011 IEEE international conference on automatic face and gesture recognition and workshops (FG 2011). IEEE, pp 545\u2013552","DOI":"10.1109\/FG.2011.5771456"},{"issue":"8","key":"3387_CR50","doi-asserted-by":"publisher","first-page":"2459","DOI":"10.1016\/j.patcog.2015.03.008","volume":"48","author":"T Zhou","year":"2015","unstructured":"Zhou T, He X, Xie K, Fu K, Zhang J, Yang J (2015) Robust visual tracking via efficient manifold ranking with low-dimensional compressive features. Pattern Recogn 48(8):2459\u20132473","journal-title":"Pattern Recogn"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3387-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3387-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3387-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T13:58:33Z","timestamp":1751464713000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3387-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,7]]},"references-count":50,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2019,10]]}},"alternative-id":["3387"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3387-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2018,3,7]]},"assertion":[{"value":"17 August 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"All authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}