{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:06:09Z","timestamp":1777637169249,"version":"3.51.4"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2018,11,3]],"date-time":"2018-11-03T00:00:00Z","timestamp":1541203200000},"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":["61672183"],"award-info":[{"award-number":["61672183"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2016B090918047"],"award-info":[{"award-number":["2016B090918047"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Research Council","award":["JCYJ20170413104556946"],"award-info":[{"award-number":["JCYJ20170413104556946"]}]},{"name":"Shenzhen Research Council","award":["JCYJ20170815113552036"],"award-info":[{"award-number":["JCYJ20170815113552036"]}]},{"name":"Shenzhen Research Council","award":["JCYJ20160226201453085"],"award-info":[{"award-number":["JCYJ20160226201453085"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s11042-018-6800-0","type":"journal-article","created":{"date-parts":[[2018,11,3]],"date-time":"2018-11-03T02:05:03Z","timestamp":1541210703000},"page":"14277-14301","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":47,"title":["Particle filter re-detection for visual tracking via correlation filters"],"prefix":"10.1007","volume":"78","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9403-1112","authenticated-orcid":false,"given":"Di","family":"Yuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohuan","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donghao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingyi","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,3]]},"reference":[{"key":"6800_CR1","doi-asserted-by":"crossref","unstructured":"Bolme DS, Beveridge JR, Draper BA, Lui YM (2010) Visual object tracking using adaptive correlation filters. In: Computer vision and pattern recognition, pp 2544\u20132550","DOI":"10.1109\/CVPR.2010.5539960"},{"key":"6800_CR2","doi-asserted-by":"crossref","unstructured":"Cehovin L, Kristan M, Leonardis A (2014) Is my new tracker really better than yours. In: Applications of computer vision, pp 540\u2013547","DOI":"10.1109\/WACV.2014.6836055"},{"issue":"02","key":"6800_CR3","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1142\/S0218001406004600","volume":"20","author":"WS Chen","year":"2008","unstructured":"Chen WS, Yuen P, Huang J, Fang B (2008) Two-step single parameter regularization fisher discriminant method for face recognition. Int J Pattern Recognit Artif Intell 20(02):189\u2013207","journal-title":"Int J Pattern Recognit Artif Intell"},{"issue":"11","key":"6800_CR4","doi-asserted-by":"publisher","first-page":"3706","DOI":"10.1109\/TCYB.2016.2577718","volume":"47","author":"Z Chen","year":"2016","unstructured":"Chen Z, You X, Zhong B, Li J, Tao D (2016) Dynamically modulated mask sparse tracking. IEEE Transactions on Cybernetics 47(11):3706\u20133718","journal-title":"IEEE Transactions on Cybernetics"},{"key":"6800_CR5","doi-asserted-by":"crossref","unstructured":"Danelljan M, H\u00e4ger G, Khan FS, Felsberg M (2014) Accurate scale estimation for robust visual tracking. In: British machine vision conference, pp 1\u201311","DOI":"10.5244\/C.28.65"},{"key":"6800_CR6","doi-asserted-by":"crossref","unstructured":"Danelljan M, Khan FS, Felsberg M, Weijer JVD (2014) Adaptive color attributes for real-time visual tracking. In: Computer vision and pattern recognition, pp 1090\u20131097","DOI":"10.1109\/CVPR.2014.143"},{"key":"6800_CR7","doi-asserted-by":"crossref","unstructured":"Danelljan M, Hager G, Khan FS, Felsberg M (2015) Learning spatially regularized correlation filters for visual tracking. In: IEEE international conference on computer vision, pp 4310\u20134318","DOI":"10.1109\/ICCV.2015.490"},{"issue":"8","key":"6800_CR8","doi-asserted-by":"publisher","first-page":"1561","DOI":"10.1109\/TPAMI.2016.2609928","volume":"39","author":"M Danelljan","year":"2017","unstructured":"Danelljan M, Hager G, Khan FS, Felsberg M (2017) Discriminative scale space tracking. IEEE Trans Pattern Anal Mach Intell 39(8):1561\u20131575","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6800_CR9","unstructured":"Everingham M, Winn J (2011) The pascal visual object classes challenge 2010 (voc2010) development kit contents. In: International conference on machine learning, pp 117\u2013176"},{"key":"6800_CR10","doi-asserted-by":"crossref","unstructured":"Fazli S, Pour HM, Bouzari H (2009) Particle filter based object tracking with sift and color feature. In: Second international conference on machine vision, pp 89\u201393","DOI":"10.1109\/ICMV.2009.47"},{"key":"6800_CR11","doi-asserted-by":"crossref","unstructured":"Galoogahi HK, Fagg A, Lucey S (2017) Learning background-aware correlation filters for visual tracking, pp 1144\u20131152","DOI":"10.1109\/ICCV.2017.129"},{"key":"6800_CR12","doi-asserted-by":"crossref","unstructured":"Gao J, Ling H, Hu W, Xing J (2014) Transfer learning based visual tracking with gaussian processes regression. In: European conference on computer vision, pp 188\u2013203","DOI":"10.1007\/978-3-319-10578-9_13"},{"issue":"2","key":"6800_CR13","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1109\/TIP.2015.2507408","volume":"25","author":"Z Guo","year":"2015","unstructured":"Guo Z, Wang X, Zhou J, You J (2015) Robust texture image representation by scale selective local binary patterns. IEEE Trans Image Process 25(2):687\u2013699","journal-title":"IEEE Trans Image Process"},{"key":"6800_CR14","unstructured":"Hare S, Saffari A, Torr PHS (2012) Struck: structured output tracking with kernels. In: International conference on computer vision, pp 263\u2013270"},{"issue":"3","key":"6800_CR15","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s11263-009-0256-7","volume":"87","author":"Z He","year":"2010","unstructured":"He Z, Chung AC (2010) 3-D b-spline wavelet-based local standard deviation (bwlsd): Its application to edge detection and vascular segmentation in magnetic resonance angiography. Int J Comput Vis 87(3):235\u2013265","journal-title":"Int J Comput Vis"},{"issue":"10-12","key":"6800_CR16","doi-asserted-by":"publisher","first-page":"1832","DOI":"10.1016\/j.neucom.2007.10.017","volume":"71","author":"Z He","year":"2008","unstructured":"He Z, You X, Tang Y (2008) Writer identification using global wavelet-based features. Neurocomputing 71(10-12):1832\u20131841","journal-title":"Neurocomputing"},{"issue":"8","key":"6800_CR17","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1016\/j.sigpro.2009.01.021","volume":"89","author":"Z He","year":"2009","unstructured":"He Z, You X, Yuan Y (2009) Texture image retrieval based on non-tensor product wavelet filter banks. Signal Process 89(8):1501\u20131510","journal-title":"Signal Process"},{"issue":"17","key":"6800_CR18","doi-asserted-by":"publisher","first-page":"157","DOI":"10.3233\/ICA-2010-0338","volume":"17","author":"Z He","year":"2010","unstructured":"He Z, You X, Zhou L, Cheung Y, Du J (2010) Writer identification using fractal dimension of wavelet subbands in gabor domain. Integrated Computer Aided Engineering 17(17):157\u2013165","journal-title":"Integrated Computer Aided Engineering"},{"key":"6800_CR19","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.knosys.2015.04.018","volume":"86","author":"Z He","year":"2015","unstructured":"He Z, Cui Y, Wang H, You X, Chen CLP (2015) One global optimization method in network flow model for multiple object tracking. Knowl-Based Syst 86:21\u201332","journal-title":"Knowl-Based Syst"},{"issue":"8","key":"6800_CR20","doi-asserted-by":"publisher","first-page":"3698","DOI":"10.1109\/TIP.2016.2570553","volume":"25","author":"Z He","year":"2016","unstructured":"He Z, Li X, You X, Tao D, Tang Y (2016) Connected component model for multi-object tracking. IEEE Trans Image Process 25(8):3698\u20133711","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"6800_CR21","first-page":"354","volume":"47","author":"Z He","year":"2016","unstructured":"He Z, Yi S, Cheung YM, You X (2016) Robust object tracking via key patch sparse representation. IEEE Transactions on Cybernetics 47(2):354\u2013364","journal-title":"IEEE Transactions on Cybernetics"},{"key":"6800_CR22","doi-asserted-by":"crossref","unstructured":"Henriques JF, Rui C, Martins P, Batista J (2012) Exploiting the circulant structure of tracking-by-detection with kernels. In: European Conference on Computer Vision, pp 702\u2013715","DOI":"10.1007\/978-3-642-33765-9_50"},{"issue":"3","key":"6800_CR23","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2014","unstructured":"Henriques JF, Caseiro R, Martins P, Batista J (2014) High-speed tracking with kernelized correlation filters. IEEE Trans Pattern Anal Mach Intell 37(3):583\u2013596","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6800_CR24","unstructured":"Hong S, You T, Kwak S, Han B (2015) Online tracking by learning discriminative saliency map with convolutional neural network. In: International conference on machine learning, pp 597\u2013606"},{"key":"6800_CR25","unstructured":"Hossain K, Lee CW (2013) Visual object tracking using particle filter. In: International conference on ubiquitous robots and ambient intelligence, pp 98\u2013102"},{"key":"6800_CR26","first-page":"5","volume-title":"Condensation-conditional density propagation forvisual tracking","author":"M Isard","year":"1998","unstructured":"Isard M, Blake A (1998) Condensation-conditional density propagation forvisual tracking. Kluwer, Boston, pp 5\u201328"},{"key":"6800_CR27","unstructured":"Jing XY, Zhu X, Wu F, You X, Liu Q, Yue D, Hu R, Xu B (2015) Super-resolution person re-identification with semi-coupled low-rank discriminant dictionary learning. In: Computer vision and pattern recognition, pp 695\u2013704"},{"key":"6800_CR28","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.patcog.2016.01.023","volume":"59","author":"XY Jing","year":"2016","unstructured":"Jing XY, Wu F, Zhu X, Dong X, Ma F, Li Z (2016) Multi-spectral low-rank structured dictionary learning for face recognition. Pattern Recogn 59:14\u201325","journal-title":"Pattern Recogn"},{"issue":"10","key":"6800_CR29","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1109\/TNNLS.2013.2297381","volume":"25","author":"Z Lai","year":"2014","unstructured":"Lai Z, Xu Y, Chen Q, Yang J, Zhang D (2014) Multilinear sparse principal component analysis. IEEE Transactions on Neural Networks and Learning Systems 25 (10):1942\u20131950","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"4","key":"6800_CR30","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1109\/TNNLS.2015.2422994","volume":"27","author":"Z Lai","year":"2016","unstructured":"Lai Z, Wong WK, Xu Y, Yang J, Zhang D (2016) Approximate orthogonal sparse embedding for dimensionality reduction. IEEE Transactions on Neural Networks and Learning Systems 27(4):723\u2013735","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"6800_CR31","unstructured":"Li Y, Zhu J (2014) A scale adaptive kernel correlation filter tracker with feature integration. In: European conference on computer vision, pp 254\u2013265"},{"key":"6800_CR32","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/j.knosys.2014.08.019","volume":"71","author":"X Li","year":"2014","unstructured":"Li X, He Z, You X, Chen CLP (2014) A novel joint tracker based on occlusion detection. Knowl-Based Syst 71:409\u2013418","journal-title":"Knowl-Based Syst"},{"key":"6800_CR33","doi-asserted-by":"crossref","unstructured":"Li Y, Zhu J, Hoi SCH (2015) Reliable patch trackers: Robust visual tracking by exploiting reliable patches. In: Computer vision and pattern recognition, pp 353\u2013361","DOI":"10.1109\/CVPR.2015.7298632"},{"key":"6800_CR34","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.knosys.2016.09.014","volume":"113","author":"X Li","year":"2016","unstructured":"Li X, Liu Q, He Z, Wang H, Zhang C, Chen WS (2016) A multi-view model for visual tracking via correlation filters. Knowl-Based Syst 113:88\u201399","journal-title":"Knowl-Based Syst"},{"key":"6800_CR35","unstructured":"Li X, Lan S, Jiang Y, Xu P (2017) Visual tracking based on adaptive background modeling and improved particle filter. In: IEEE international conference on computer and communications, pp 469\u2013473"},{"key":"6800_CR36","doi-asserted-by":"crossref","unstructured":"Liu T, Wang G, Yang Q (2015) Real-time part-based visual tracking via adaptive correlation filters. In: Computer vision and pattern recognition, pp 4902\u20134912","DOI":"10.1109\/CVPR.2015.7299124"},{"key":"6800_CR37","doi-asserted-by":"crossref","unstructured":"Liu S, Zhang T, Cao X, Xu C (2016) Structural correlation filter for robust visual tracking. In: Computer vision and pattern recognition, pp 4312\u20134320","DOI":"10.1109\/CVPR.2016.467"},{"key":"6800_CR38","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.knosys.2017.07.032","volume":"134","author":"Q Liu","year":"2017","unstructured":"Liu Q, Lu X, He Z, Zhang C, Chen WS (2017) Deep convolutional neural networks for thermal infrared object tracking. Knowl-Based Syst 134:189\u2013198","journal-title":"Knowl-Based Syst"},{"key":"6800_CR39","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.knosys.2016.05.028","volume":"106","author":"X Ma","year":"2016","unstructured":"Ma X, Liu Q, He Z, Zhang X, Chen WS (2016) Visual tracking via exemplar regression model. Knowl-Based Syst 106:26\u201337","journal-title":"Knowl-Based Syst"},{"key":"6800_CR40","unstructured":"Mai TNT, Kim S (2016) Optimization for particle filter-based object tracking in embedded systems using parallel programming. In: International conference on computer science and its applications, pp 246\u2013252"},{"key":"6800_CR41","unstructured":"Mozhdehi RJ, Medeiros H (2017) Deep convolutional particle filter for visual tracking. In: IEEE international conference on image processing, pp 3650\u20133654"},{"issue":"4","key":"6800_CR42","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.1016\/j.patcog.2013.10.017","volume":"47","author":"W Ou","year":"2014","unstructured":"Ou W, You X, Tao D, Zhang P, Tang Y, Zhu Z (2014) Robust face recognition via occlusion dictionary learning. Pattern Recogn 47(4):1559\u20131572","journal-title":"Pattern Recogn"},{"issue":"C","key":"6800_CR43","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.neucom.2015.09.133","volume":"204","author":"W Ou","year":"2016","unstructured":"Ou W, Li G, Zhang K, Xie G (2016) Multi-view non-negative matrix factorization by patch alignment framework with view consistency. Neurocomputing 204(C):116\u2013124","journal-title":"Neurocomputing"},{"issue":"3","key":"6800_CR44","doi-asserted-by":"publisher","first-page":"033006(1)","DOI":"10.1117\/1.JEI.26.3.033006","volume":"26","author":"W Ou","year":"2017","unstructured":"Ou W, Yuan D, Li D, Liu B, Xia D, Zeng W (2017) Patch-based visual tracking with online representative sample selection. J Electron Imaging 26 (3):033006(1)\u2013033006(12)","journal-title":"J Electron Imaging"},{"issue":"9","key":"6800_CR45","doi-asserted-by":"publisher","first-page":"10569","DOI":"10.1007\/s11042-017-4672-3","volume":"77","author":"W Ou","year":"2018","unstructured":"Ou W, Yuan D, Liu Q, Cao Y (2018) Object tracking based on online representative sample selection via non-negative least square. Multimedia Tools and Applications 77(9):10569\u201310587","journal-title":"Multimedia Tools and Applications"},{"key":"6800_CR46","doi-asserted-by":"crossref","unstructured":"Qi Y, Zhang S, Qin L, Yao H, Huang Q, Lim J, Yang MH (2016) Hedged deep tracking. In: Computer vision and pattern recognition, pp 4303\u20134311","DOI":"10.1109\/CVPR.2016.466"},{"issue":"7","key":"6800_CR47","doi-asserted-by":"publisher","first-page":"3098","DOI":"10.1109\/TIP.2016.2639781","volume":"26","author":"G Qi","year":"2017","unstructured":"Qi G, Jing XY, Wu F, Wei Z, Liang X, Shao W, Dong Y, Li H (2017) Structure-based low-rank model with graph nuclear norm regularization for noise removal. IEEE Trans Image Process 26(7):3098\u20133112","journal-title":"IEEE Trans Image Process"},{"issue":"10","key":"6800_CR48","first-page":"2301","volume":"11","author":"J Qian","year":"2011","unstructured":"Qian J, Fang B, Yang W, Luan X, Nan H (2011) Accurate tilt sensing with linear model. IEEE Sensors J 11(10):2301\u20132309","journal-title":"IEEE Sensors J"},{"issue":"10","key":"6800_CR49","doi-asserted-by":"publisher","first-page":"2130","DOI":"10.1109\/TPAMI.2015.2501810","volume":"38","author":"X Shi","year":"2016","unstructured":"Shi X, Guo Z, Nie F, Yang L, Tao D (2016) Two-dimensional whitening reconstruction for enhancing robustness of principal component analysis. IEEE Trans Pattern Anal Mach Intell 38(10):2130\u20132136","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6800_CR50","doi-asserted-by":"crossref","unstructured":"Valmadre J, Bertinetto L, Henriques JF, Vedaldi A, Torr PHS (2017) End-to-end representation learning for correlation filter based tracking. In: Computer vision and pattern recognition, pp 2805\u20132813","DOI":"10.1109\/CVPR.2017.531"},{"key":"6800_CR51","first-page":"723","volume-title":"A tutorial on particle filters for online nonlinear\/nongaussian Bayesian tracking","author":"H Trees Van","year":"2007","unstructured":"Van Trees H, Bell K (2007) A tutorial on particle filters for online nonlinear\/nongaussian Bayesian tracking. Wiley, New York, pp 723\u2013737"},{"key":"6800_CR52","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, pp 2411\u20132418","DOI":"10.1109\/CVPR.2013.312"},{"issue":"9","key":"6800_CR53","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1109\/TPAMI.2014.2388226","volume":"37","author":"Y Wu","year":"2015","unstructured":"Wu Y, Lim J, Yang MH (2015) Object tracking benchmark. IEEE Trans Pattern Anal Mach Intell 37(9):1834\u20131848","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"6800_CR54","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.patcog.2015.08.012","volume":"50","author":"F Wu","year":"2016","unstructured":"Wu F, Jing XY, You X, Yue D, Hu R, Yang JY (2016) Multi-view low-rank dictionary learning for image classification. Pattern Recogn 50:143\u2013154","journal-title":"Pattern Recogn"},{"key":"6800_CR55","unstructured":"Yang MH, Lu H, Zhong W (2012) Robust object tracking via sparsity-based collaborative model. In: Computer vision and pattern recognition, pp 1838\u20131845"},{"key":"6800_CR56","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.sigpro.2014.09.020","volume":"110","author":"S Yi","year":"2015","unstructured":"Yi S, He Z, You X, Cheung YM (2015) Single object tracking via robust combination of particle filter and sparse representation. Signal Process 110:178\u2013187","journal-title":"Signal Process"},{"issue":"99","key":"6800_CR57","first-page":"1","volume":"PP","author":"S Yi","year":"2017","unstructured":"Yi S, He Z, Cheung YM, Chen WS (2017) Unified sparse subspace learning via self-contained regression. IEEE Trans Circuits Syst Video Technol PP(99):1\u201314","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"6800_CR58","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1016\/j.patcog.2016.08.025","volume":"61","author":"S Yi","year":"2017","unstructured":"Yi S, Lai Z, He Z, Cheung Y-M, Liu Y (2017) Joint sparse principal component analysis. Pattern Recogn 61:524\u2013536","journal-title":"Pattern Recogn"},{"key":"6800_CR59","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1016\/j.sigpro.2014.09.019","volume":"111","author":"X You","year":"2014","unstructured":"You X, Li X, He Z, Zhang X (2014) A robust local sparse tracker with global consistency constraint. Signal Process 111:308\u2013318","journal-title":"Signal Process"},{"key":"6800_CR60","doi-asserted-by":"crossref","unstructured":"Yu Y, Che Y (2010) Infrared object tracking based on particle filter. In: International congress on image and signal processing, pp 1508\u20131511","DOI":"10.1109\/CISP.2010.5647068"},{"key":"6800_CR61","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: European Conference on computer vision, pp 127\u2013141","DOI":"10.1007\/978-3-319-10602-1_9"},{"issue":"11","key":"6800_CR62","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1109\/TCSVT.2015.2406194","volume":"25","author":"S Zhang","year":"2015","unstructured":"Zhang S, Zhou H, Jiang F, Li X (2015) Robust visual tracking using structurally random projection and weighted least squares. IEEE Trans Circuits Syst Video Technol 25(11):1749\u20131760","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"6800_CR63","doi-asserted-by":"crossref","unstructured":"Zhang T, Bibi A, Ghanem B (2016) In defense of sparse tracking: Circulant sparse tracker. In: Computer vision and patter recognition, pp 3880\u20133888","DOI":"10.1109\/CVPR.2016.421"},{"issue":"4","key":"6800_CR64","first-page":"1779","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":"3","key":"6800_CR65","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1109\/TCSVT.2016.2539860","volume":"27","author":"S Zhang","year":"2017","unstructured":"Zhang S, Lan X, Qi Y, Yuen P (2017) Robust visual tracking via basis matching. IEEE Trans Circuits Syst Video Technol 27(3):421\u2013430","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"6800_CR66","doi-asserted-by":"crossref","unstructured":"Zhang T, Xu C, Yang MH (2017) Multi-task correlation particle filter for robust object tracking. In: IEEE conference on computer vision and pattern recognition, pp 4819\u20134827","DOI":"10.1109\/CVPR.2017.512"},{"key":"6800_CR67","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.patcog.2018.01.012","volume":"78","author":"Y Zhao","year":"2018","unstructured":"Zhao Y, You X, Yu S, Xu C, Yuan W, Jing XY, Zhang T, Tao D (2018) Multi-view manifold learning with locality alignment. Pattern Recogn 78:154\u2013166","journal-title":"Pattern Recogn"},{"issue":"11","key":"6800_CR68","doi-asserted-by":"publisher","first-page":"1491","DOI":"10.1109\/TIP.2004.836152","volume":"13","author":"SK Zhou","year":"2004","unstructured":"Zhou SK, Chellappa R, Moghaddam B (2004) Visual tracking and recognition using appearance-adaptive models in particle filters. IEEE Trans Image Process 13 (11):1491\u20131506","journal-title":"IEEE Trans Image Process"},{"key":"6800_CR69","unstructured":"Zhou H, Gao Y, Yuan G, Ji R (2016) Adaptive multiple cues integration for particle filter tracking. In: IET international radar conference, pp 31\u201336"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6800-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-018-6800-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-018-6800-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T20:33:25Z","timestamp":1572726805000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-018-6800-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,3]]},"references-count":69,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["6800"],"URL":"https:\/\/doi.org\/10.1007\/s11042-018-6800-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,3]]},"assertion":[{"value":"5 March 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 October 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 November 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}