{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:58:18Z","timestamp":1760597898616},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T00:00:00Z","timestamp":1567123200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T00:00:00Z","timestamp":1567123200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Front. Comput. Sci."],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s11704-018-8104-y","type":"journal-article","created":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T06:06:19Z","timestamp":1567145179000},"page":"334-348","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Real-time manifold regularized context-aware correlation tracking"],"prefix":"10.1007","volume":"14","author":[{"given":"Jiaqing","family":"Fan","sequence":"first","affiliation":[]},{"given":"Huihui","family":"Song","sequence":"additional","affiliation":[]},{"given":"Kaihua","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Qingshan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Lian","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,30]]},"reference":[{"issue":"4","key":"8104_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2508037.2508039","volume":"4","author":"X Li","year":"2013","unstructured":"Li X, Hu W M, Shen C H, Zhang Z F, Dick A, Hengel A V D. A survey of appearance models in visual object tracking. ACM Transactions on Intelligent Systems and Technology, 2013, 4(4): 1\u201313","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"issue":"1","key":"8104_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11704-016-5415-8","volume":"12","author":"H J Wang","year":"2018","unstructured":"Wang H J, Ge H J. Visual tracking using discriminative representation with l 2 regularization. Frontiers of Computer Science, 2018, 12(1): 1\u201313","journal-title":"Frontiers of Computer Science"},{"issue":"1","key":"8104_CR3","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s11704-015-4246-3","volume":"10","author":"A Ali","year":"2016","unstructured":"Ali A, Jalil A, Niu J W, Zhao X K, Rathore S, Ahmed J, Iftikhar M A. Visual object tracking-classical and contemporary approaches. Frontiers of Computer Science, 2016, 10(1): 167\u2013188","journal-title":"Frontiers of Computer Science"},{"key":"8104_CR4","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.patcog.2018.03.029","volume":"81","author":"K H Zhang","year":"2018","unstructured":"Zhang K H, Liu Q S, Ynag J, Yang M H. Visual tracking via boolean map representations. Pattern Recognition, 2018, 81: 147\u2013160","journal-title":"Pattern Recognition"},{"key":"8104_CR5","first-page":"185","volume":"185","author":"K H Zhang","year":"2083","unstructured":"Zhang K H, Li X J, Song H H, Liu Q S, Lian W. Visual tracking using spatio-temporally nonlocally regularized correlation filter. Pattern Recognition, 2083, 185: 185\u2013195","journal-title":"Pattern Recognition"},{"key":"8104_CR6","first-page":"2544","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"D S Bolme","year":"2010","unstructured":"Bolme D S, Beveridge J R, Draper B A, Lui Y M. Visual object tracking using adaptive correlation filters. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2010, 2544\u20132550"},{"issue":"3","key":"8104_CR7","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"J F Henriques","year":"2015","unstructured":"Henriques J F, Caseiro R, Martins P, Batista J. High-speed tracking with kernelized correlation filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583\u2013596","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"8104_CR8","first-page":"127","volume-title":"Proceedings of European Conference on Computer Vision","author":"K H Zhang","year":"2014","unstructured":"Zhang K H, Zhang L, Liu Q S, Zhang D, Yang M H. Fast visual tracking via dense spatio-temporal context learning. In: Proceedings of European Conference on Computer Vision. 2014, 127\u2013141"},{"key":"8104_CR9","first-page":"1401","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"L Bertinetto","year":"2016","unstructured":"Bertinetto L, Valmadre J, Golodetz S, Miksik O, Torr P H S. Staple: complementary learners for real-time tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016, 1401\u20131409"},{"issue":"4","key":"8104_CR10","first-page":"1779","volume":"25","author":"K H Zhang","year":"2016","unstructured":"Zhang K H, Liu Q S, Wu Y, Yang M H. Robust visual tracking via convolutional networks without training. IEEE Transactions on Image Processing, 2016, 25(4): 1779\u20131792","journal-title":"IEEE Transactions on Image Processing"},{"issue":"10","key":"8104_CR11","doi-asserted-by":"publisher","first-page":"1454","DOI":"10.1109\/LSP.2016.2601691","volume":"23","author":"C Ma","year":"2016","unstructured":"Ma C, Xu Y, Ni B B, Yang X K. When correlation filters meet convolutional neural networks for visual tracking. IEEE Signal Processing Letters, 2016, 23(10): 1454\u20131458","journal-title":"IEEE Signal Processing Letters"},{"key":"8104_CR12","volume-title":"Proceedings of the British Machine Vision Conference","author":"M Danelljan","year":"2014","unstructured":"Danelljan M, H\u00e4ger G, Khan F, Felsberg M. Accurate scale estimation for robust visual tracking. In: Proceedings of the British Machine Vision Conference. 2014"},{"key":"8104_CR13","first-page":"1949","volume-title":"Proceedings of the IEEE International Conference on Computer Vision Workshop","author":"M Kristan","year":"2017","unstructured":"Kristan M, Leonardis A, Matas J. The visual object tracking VOT2017 challenge results. In: Proceedings of the IEEE International Conference on Computer Vision Workshop. 2017, 1949\u20131972"},{"key":"8104_CR14","first-page":"1396","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"M Mueller","year":"2017","unstructured":"Mueller M, Smith N, Ghanem B. Context-aware correlation filter tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017, 1396\u20131404"},{"key":"8104_CR15","first-page":"1135","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"K H Galoogahi","year":"2017","unstructured":"Galoogahi K H, Fagg A, Lucey S. Learning background-aware correlation filters for visual tracking. In: Proceedings of the IEEE International Conference on Computer Vision. 2017, 1135\u20131143"},{"issue":"12","key":"8104_CR16","doi-asserted-by":"publisher","first-page":"2494","DOI":"10.1109\/TMM.2016.2602938","volume":"18","author":"Y Yan","year":"2016","unstructured":"Yan Y, Nie F, Li W, Gao C Q, Yang Y, Xu D. Image classification by cross-media active learning with privileged information. IEEE Transactions on Multimedia, 2016, 18(12): 2494\u20132502","journal-title":"IEEE Transactions on Multimedia"},{"issue":"2","key":"8104_CR17","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s11263-014-0781-x","volume":"113","author":"Y Yang","year":"2015","unstructured":"Yang Y, Ma Z G, Nie F P, Chang X J, Hauptmann A G. Multi-class active learning by uncertainty sampling with diversity maximization. International Journal of Computer Vision, 2015, 113(2): 113\u2013127","journal-title":"International Journal of Computer Vision"},{"issue":"4","key":"8104_CR18","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1109\/TPAMI.2011.170","volume":"34","author":"Y Yang","year":"2012","unstructured":"Yang Y, Nie F P, Xu D, Luo J B, Zhuang Y T, Pan Y H. A multimedia retrieval framework based on semi-supervised ranking and relevance feedback. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(4): 723\u2013742","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"9","key":"8104_CR19","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 W, Yang M H. Object tracking benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834\u20131848","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"8104_CR20","first-page":"1090","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"M Danelljan","year":"2014","unstructured":"Danelljan M, Shahbaz K F, Felsberg M, Joost V W. Adaptive color attributes for real-time visual tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2014, 1090\u20131097"},{"key":"8104_CR21","first-page":"3074","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"C Ma","year":"2015","unstructured":"Ma C, Huang J B, Yang X K, Yang M H. Hierarchical convolutional features for visual tracking. In: Proceedings of the IEEE International Conference on Computer Vision. 2015, 3074\u20133082"},{"key":"8104_CR22","first-page":"58","volume-title":"Proceedings of the IEEE International Conference on Computer Vision Workshops","author":"M Danelljan","year":"2015","unstructured":"Danelljan M, Hager G, Khan F S, Felsberg M. Convolutional features for correlation filter based visual tracking. In: Proceedings of the IEEE International Conference on Computer Vision Workshops. 2015, 58\u201366"},{"key":"8104_CR23","first-page":"472","volume-title":"Proceedings of European Conference on Computer Vision","author":"M Danelljan","year":"2016","unstructured":"Danelljan M, Robinson A, Khan F S, Felsberg M. Beyond correlation filters: learning continuous convolution operators for visual tracking. In: Proceedings of European Conference on Computer Vision. 2016, 472\u2013488"},{"key":"8104_CR24","first-page":"21","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"M Danelljan","year":"2017","unstructured":"Danelljan M, Bhat G, Khan F S, Felsberg M. ECO: rfficient convolution operators for tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017, 21\u201326"},{"key":"8104_CR25","first-page":"4312","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"S Liu","year":"2016","unstructured":"Liu S, Zhang T Z, Cao X C, Xu C S. Structural correlation filter for robust visual tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016, 4312\u20134320"},{"key":"8104_CR26","first-page":"6309","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"A Lukezic","year":"2017","unstructured":"Lukezic A, Voj\u00edr T, Zajc L C, Matas J, Kristan M. Discriminative correlation filter with channel and spatial reliability. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017, 6309\u20136318"},{"key":"8104_CR27","first-page":"4310","volume-title":"Proceedings of European Conference on Computer Vision","author":"M Danelljan","year":"2015","unstructured":"Danelljan M, Hager G, Shahbaz K F, Felsberg M. Learning spatially regularized correlation filters for visual tracking. In: Proceedings of European Conference on Computer Vision. 2015, 4310\u20134318"},{"issue":"v","key":"8104_CR28","first-page":"2399","volume":"7","author":"M Belkin","year":"2006","unstructured":"Belkin M, Niyogi P, Sindhwani V. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 2006, 7(Nov): 2399\u20132434","journal-title":"Journal of Machine Learning Research"},{"issue":"10","key":"8104_CR29","doi-asserted-by":"publisher","first-page":"2294","DOI":"10.1109\/TNNLS.2016.2582746","volume":"28","author":"X J Y Y Chang","year":"2017","unstructured":"Chang X J, Yang Y. Semisupervised feature analysis by mining correlations among multiple tasks. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(10): 2294\u20132305","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"8104_CR30","first-page":"3714","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"S Yu","year":"2013","unstructured":"Yu S, Yang Y, Hauptmann A. Harry potter\u2019s marauder\u2019s map: localizing and tracking multiple persons-of-interest by nonnegative discretization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2013, 3714\u20133720"},{"key":"8104_CR31","first-page":"1854","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Y C Bai","year":"2012","unstructured":"Bai Y C, Tang M. Robust tracking via weakly supervised ranking SVM. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2012, 1854\u20131861"},{"issue":"5","key":"8104_CR32","doi-asserted-by":"publisher","first-page":"1786","DOI":"10.1109\/TNNLS.2017.2688448","volume":"29","author":"H W Hu","year":"2018","unstructured":"Hu H W, Ma B, Shen J B, Shao L. Manifold regularized correlation object tracking. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(5): 1786\u20131795","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"4","key":"8104_CR33","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1109\/TIP.2014.2308414","volume":"23","author":"B Zhuang","year":"2014","unstructured":"Zhuang B, Lu H C, Xiao Z Y, Wang D. Visual tracking via discriminative sparse similarity map. IEEE Transactions on Image Processing, 2014, 23(4): 1872\u20131881","journal-title":"IEEE Transactions on Image Processing"},{"key":"8104_CR34","doi-asserted-by":"crossref","first-page":"585","DOI":"10.7551\/mitpress\/1120.003.0080","volume":"585","author":"M N P Belkin","year":"2002","unstructured":"Belkin M, Niyogi P. Laplacian eigenmaps and spectral techniques for embedding and clustering. Advances in Neural Processing Systems, 2002, 585: 585\u2013591","journal-title":"Advances in Neural Processing Systems"},{"key":"8104_CR35","first-page":"5388","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"C Ma","year":"2015","unstructured":"Ma C, Yang X K, Zhang C Y, Yang M H. Long-term correlation tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015, 5388\u20135396"},{"key":"8104_CR36","first-page":"188","volume-title":"Proceedings of European Conference on Computer Vision","author":"J M Zhang","year":"2014","unstructured":"Zhang J M, Ma S G, Sclaroff S. MEEM: robust tracking via multiple experts using entropy minimization. In: Proceedings of European Conference on Computer Vision. 2014, 188\u2013203"},{"issue":"10","key":"8104_CR37","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 M M, Hicks S L, Torr P H S. Struck: structured output tracking with kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(10): 2096\u20132109","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"8104_CR38","first-page":"2411","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Y Wu","year":"2013","unstructured":"Wu Y, Lim J W, Yang M H. Online object tracking: a benchmark. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2013, 2411\u20132418"},{"key":"8104_CR39","first-page":"2574","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"Y B Song","year":"2017","unstructured":"Song Y B, Ma C, Gong L J, Zhang J W, Lau R W H, Yang M H. Crest: convolutional residual learning for visual tracking. In: Proceedings of the IEEE International Conference on Computer Vision. 2017, 2574\u20132583"},{"key":"8104_CR40","first-page":"943","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"G Zhu","year":"2016","unstructured":"Zhu G, Porikli F, Li H D. Beyond local search: tracking objects everywhere with instance-specific proposals. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016, 943\u2013951"}],"container-title":["Frontiers of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-018-8104-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11704-018-8104-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-018-8104-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T19:39:26Z","timestamp":1721677166000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11704-018-8104-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,30]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["8104"],"URL":"https:\/\/doi.org\/10.1007\/s11704-018-8104-y","relation":{},"ISSN":["2095-2228","2095-2236"],"issn-type":[{"value":"2095-2228","type":"print"},{"value":"2095-2236","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,30]]},"assertion":[{"value":"22 March 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}