{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T00:21:28Z","timestamp":1720484488879},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,8,6]],"date-time":"2018-08-06T00:00:00Z","timestamp":1533513600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Major Science Instrument Program of the National Natural Science Foundation of China","award":["61527802"],"award-info":[{"award-number":["61527802"]}]},{"name":"General Program of the National Natural Science Foundation of China","award":["61371132","61471043"],"award-info":[{"award-number":["61371132","61471043"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Wireless Com Network"],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s13638-018-1198-y","type":"journal-article","created":{"date-parts":[[2018,8,6]],"date-time":"2018-08-06T14:33:09Z","timestamp":1533565989000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Online adaptive complementation tracker"],"prefix":"10.1186","volume":"2018","author":[{"given":"Guokai","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingfa","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiqiang","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhitao","family":"Rao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,6]]},"reference":[{"key":"1198_CR1","doi-asserted-by":"publisher","first-page":"1442","DOI":"10.1109\/TPAMI.2013.230","volume":"36","author":"AW Smeulders","year":"2014","unstructured":"AW Smeulders, DM Chu, R Cucchiara, S Calderara, A Dehghan, M Shah, Visual tracking: an experimental survey. IEEE Transactions on Pattern Analysis & Machine Intelligence 36, 1442\u20131468 (2014).","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"1198_CR2","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s11263-007-0075-7","volume":"77","author":"DA Ross","year":"2008","unstructured":"DA Ross, J Lim, R-S Lin, M-H Yang, Incremental learning for robust visual tracking. Int. J. Comput. Vis. 77, 125\u2013141 (2008).","journal-title":"Int. J. Comput. Vis."},{"key":"1198_CR3","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/TIP.2012.2202677","volume":"22","author":"D Wang","year":"2013","unstructured":"D Wang, H Lu, MH Yang, Online object tracking with sparse prototypes. IEEE Trans. Image Process. 22, 314\u2013325 (2013).","journal-title":"IEEE Trans. Image Process."},{"key":"1198_CR4","first-page":"1436","volume-title":"IEEE International Conference on Computer Vision","author":"X Mei","year":"2009","unstructured":"X Mei, H Ling, in IEEE International Conference on Computer Vision. Robust visual tracking using \u2113 1 minimization (2009), pp. 1436\u20131443."},{"key":"1198_CR5","first-page":"1822","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"H Lu","year":"2012","unstructured":"H Lu, X Jia, MH Yang, in IEEE Conference on Computer Vision and Pattern Recognition. Visual tracking via adaptive structural local sparse appearance model (2012), pp. 1822\u20131829."},{"key":"1198_CR6","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/s11263-012-0582-z","volume":"101","author":"T Zhang","year":"2013","unstructured":"T Zhang, B Ghanem, S Liu, N Ahuja, Robust visual tracking via structured multi-task sparse learning. Int. J. Comput. Vis. 101, 367\u2013383 (2013).","journal-title":"Int. J. Comput. Vis."},{"key":"1198_CR7","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1109\/CVPRW.2013.150","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition Workshops","author":"T Zhang","year":"2013","unstructured":"T Zhang, B Ghanem, C Xu, N Ahuja, in IEEE Conference on Computer Vision and Pattern Recognition Workshops. Object tracking by occlusion detection via structured sparse learning (2013), pp. 1033\u20131040."},{"key":"1198_CR8","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1109\/LSP.2014.2322389","volume":"21","author":"D Wang","year":"2014","unstructured":"D Wang, H Lu, C Bo, Online visual tracking via two view sparse representation. IEEE Signal Processing Letters 21, 1031\u20131034 (2014).","journal-title":"IEEE Signal Processing Letters"},{"key":"1198_CR9","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1109\/TPAMI.2004.53","volume":"26","author":"S Avidan","year":"2004","unstructured":"S Avidan, Support vector tracking. IEEE Transactions on Pattern Analysis & Machine Intelligence 26, 1064\u20131072 (2004).","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"1198_CR10","doi-asserted-by":"crossref","unstructured":"S Avidan, Ensemble tracking. IEEE Transactions on Pattern Analysis & Machine Intelligence 29, 261\u2013271 (2007).","DOI":"10.1109\/TPAMI.2007.35"},{"key":"1198_CR11","first-page":"983","volume-title":"EEE Conference on Computer Vision and Pattern Recognition","author":"B Babenko","year":"2009","unstructured":"B Babenko, MH Yang, S Belongie, in EEE Conference on Computer Vision and Pattern Recognition. Visual tracking with online multiple instance learning (2009), pp. 983\u2013990."},{"key":"1198_CR12","first-page":"4266","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"J Ning","year":"2016","unstructured":"J Ning, J Yang, S Jiang, L Zhang, M-H Yang, in IEEE Conference on Computer Vision and Pattern Recognition. Object tracking via dual linear structured SVM and explicit feature map (2016), pp. 4266\u20134274."},{"key":"1198_CR13","first-page":"2544","volume-title":"EEE Conference on Computer Vision and Pattern Recognition","author":"DS Bolme","year":"2010","unstructured":"DS Bolme, JR Beveridge, BA Draper, YM Lui, in EEE Conference on Computer Vision and Pattern Recognition. Visual object tracking using adaptive correlation filters (2010), pp. 2544\u20132550."},{"key":"1198_CR14","first-page":"1","volume-title":"British Machine Vision Conference, Nottingham, September","author":"M Danelljan","year":"2014","unstructured":"M Danelljan, G H\u00e4ger, F Khan, M Felsberg, in British Machine Vision Conference, Nottingham, September. Accurate scale estimation for robust visual tracking (2014), pp. 1\u20135."},{"key":"1198_CR15","first-page":"583","volume":"37","author":"H JF","year":"2014","unstructured":"H JF, R C., P M., J B., High-speed tracking with kernelized correlation filters. IEEE Transactions on Pattern Analysis\\s&\\smachine Intelligence 37, 583 (2014).","journal-title":"IEEE Transactions on Pattern Analysis\\s&\\smachine Intelligence"},{"key":"1198_CR16","first-page":"5388","volume-title":"EEE Conference on Computer Vision and Pattern Recognition","author":"C Ma","year":"2015","unstructured":"C Ma, X Yang, C Zhang, MH Yang, in EEE Conference on Computer Vision and Pattern Recognition. Long-term correlation tracking (2015), pp. 5388\u20135396."},{"key":"1198_CR17","unstructured":"M Wang, Y Liu, Z Huang, Large margin object tracking with circulant feature maps. IEEE Conference on Computer Vision and Pattern Recognition (2017), pp.4800\u20134808."},{"key":"1198_CR18","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1109\/LSP.2016.2545705","volume":"23","author":"R Yao","year":"2016","unstructured":"R Yao, S Xia, F Shen, Y Zhou, Q Niu, Exploiting spatial structure from parts for adaptive kernelized correlation filter tracker. IEEE Signal Processing Letters 23, 658\u2013662 (2016).","journal-title":"IEEE Signal Processing Letters"},{"key":"1198_CR19","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"JF Henriques, R Caseiro, P Martins, J Batista, High-speed tracking with kernelized correlation filters. IEEE Trans. Pattern Anal. Mach. Intell. 37, 583\u2013596 (2015).","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1198_CR20","first-page":"65.1","volume-title":"British Machine Vision Conference","author":"M Danelljan","year":"2014","unstructured":"M Danelljan, G H\u00e4ger, FS Khan, in British Machine Vision Conference. Accurate scale estimation for robust visual tracking (2014), pp. 65.1\u201365.11."},{"key":"1198_CR21","first-page":"587","volume-title":"IEEE International Conference on Computer Vision Workshop","author":"AS Montero","year":"2016","unstructured":"AS Montero, J Lang, R Lagani\u00e8re, in IEEE International Conference on Computer Vision Workshop. Scalable kernel correlation filter with sparse feature integration (2016), pp. 587\u2013594."},{"key":"1198_CR22","first-page":"4902","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"T Liu","year":"2015","unstructured":"T Liu, G Wang, Q Yang, in IEEE Conference on Computer Vision and Pattern Recognition. Real-time part-based visual tracking via adaptive correlation filters (2015), pp. 4902\u20134912."},{"key":"1198_CR23","first-page":"661","volume":"I","author":"P P\u00e9rez","year":"2002","unstructured":"P P\u00e9rez, C Hue, J Vermaak, M Gangnet, Color-based probabilistic tracking. ECCV, 2002 I, 661\u2013675 (2002).","journal-title":"ECCV, 2002"},{"key":"1198_CR24","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1109\/TPAMI.2003.1195991","volume":"25","author":"D Comaniciu","year":"2003","unstructured":"D Comaniciu, V Ramesh, P Meer, Kernel-based object tracking. IEEE Transactions on Pattern Analysis & Machine Intelligence 25, 564\u2013575 (2003).","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"1198_CR25","first-page":"2113","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"H Possegger","year":"2015","unstructured":"H Possegger, T Mauthner, H Bischof, in IEEE Conference on Computer Vision and Pattern Recognition. In defense of color-based model-free tracking (2015), pp. 2113\u20132120."},{"key":"1198_CR26","first-page":"1401","volume-title":"Computer Vision and Pattern Recognition","author":"L Bertinetto","year":"2016","unstructured":"L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr, in Computer Vision and Pattern Recognition. Staple: complementary learners for real-time tracking (2016), pp. 1401\u20131409."},{"key":"1198_CR27","first-page":"1135","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"HK Galoogahi","year":"2017","unstructured":"HK Galoogahi, A Fagg, S Lucey, in IEEE Conference on Computer Vision and Pattern Recognition. Learning background-aware correlation filters for visual tracking (2017), pp. 1135\u20131143."},{"key":"1198_CR28","first-page":"1430","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"M Danelljan","year":"2016","unstructured":"M Danelljan, G H\u00e4ger, FS Khan, M Felsberg, in IEEE Conference on Computer Vision and Pattern Recognition. Adaptive decontamination of the training set: a unified formulation for discriminative visual tracking (2016), pp. 1430\u20131438."},{"key":"1198_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2010","unstructured":"S Boyd, N Parikh, E Chu, B Peleato, J Eckstein, Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations & Trends in Machine Learning 3, 1\u2013122 (2010).","journal-title":"Foundations & Trends in Machine Learning"},{"key":"1198_CR30","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.1109\/TPAMI.2014.2388226","volume":"37","author":"Y Wu","year":"2015","unstructured":"Y Wu, J Lim, M-H Yang, Object tracking benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 37, 1834\u20131848 (2015).","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1198_CR31","doi-asserted-by":"publisher","first-page":"2096","DOI":"10.1109\/TPAMI.2015.2509974","volume":"38","author":"S Hare","year":"2016","unstructured":"S Hare, S Golodetz, A Saffari, V Vineet, M-M Cheng, SL Hicks, et al., Struck: structured output tracking with kernels. IEEE Trans. Pattern Anal. Mach. Intell. 38, 2096\u20132109 (2016).","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1198_CR32","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1109\/TPAMI.2011.239","volume":"34","author":"Z Kalal","year":"2012","unstructured":"Z Kalal, K Mikolajczyk, J Matas, Tracking-learning-detection. IEEE Transactions on Pattern Analysis & Machine Intelligence 34, 1409\u20131422 (2012).","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"key":"1198_CR33","first-page":"4310","volume-title":"IEEE International Conference on Computer Vision","author":"M Danelljan","year":"2015","unstructured":"M Danelljan, G Hager, F Shahbaz Khan, M Felsberg, in IEEE International Conference on Computer Vision. Learning spatially regularized correlation filters for visual tracking (2015), pp. 4310\u20134318."},{"key":"1198_CR34","unstructured":"Zhang J, Ma S, Sclaroff S. MEEM: robust tracking via multiple experts using entropy minimization. European Conference on Computer Vision (2014), pp. 188\u2013203."},{"key":"1198_CR35","first-page":"1090","volume-title":"IEEE Conference on Computer Vision and Pattern Recognition","author":"M Danelljan","year":"2014","unstructured":"M Danelljan, FS Khan, M Felsberg, JVD Weijer, in IEEE Conference on Computer Vision and Pattern Recognition. Adaptive color attributes for real-time visual tracking (2014), pp. 1090\u20131097."}],"container-title":["EURASIP Journal on Wireless Communications and Networking"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-018-1198-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13638-018-1198-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13638-018-1198-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T23:31:17Z","timestamp":1720481477000},"score":1,"resource":{"primary":{"URL":"https:\/\/jwcn-eurasipjournals.springeropen.com\/articles\/10.1186\/s13638-018-1198-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,6]]},"references-count":35,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["1198"],"URL":"https:\/\/doi.org\/10.1186\/s13638-018-1198-y","relation":{},"ISSN":["1687-1499"],"issn-type":[{"value":"1687-1499","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,6]]},"assertion":[{"value":"10 April 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 July 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 August 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"191"}}