{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:28:25Z","timestamp":1740122905619,"version":"3.37.3"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2017,5,27]],"date-time":"2017-05-27T00:00:00Z","timestamp":1495843200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100006469","name":"FDCT","doi-asserted-by":"crossref","award":["093\/2014\/A2, 008\/2013\/A1"],"award-info":[{"award-number":["093\/2014\/A2, 008\/2013\/A1"]}],"id":[{"id":"10.13039\/501100006469","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1007\/s11042-017-4790-y","type":"journal-article","created":{"date-parts":[[2017,5,27]],"date-time":"2017-05-27T12:32:59Z","timestamp":1495888379000},"page":"8979-9002","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Object tracking using distribution fields with correlation coefficients"],"prefix":"10.1007","volume":"77","author":[{"given":"Peng","family":"Qin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1788-3746","authenticated-orcid":false,"given":"Chi-Man","family":"Pun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,27]]},"reference":[{"issue":"8","key":"4790_CR1","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.1109\/TPAMI.2010.226","volume":"33","author":"B Babenko","year":"2011","unstructured":"Babenko B, Ming-Hsuan Y, Belongie S (2011) Robust object tracking with online multiple instance learning. Patt Anal Mach Intell 33(8):1619\u20131632","journal-title":"Patt Anal Mach Intell"},{"issue":"3","key":"4790_CR2","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1023\/B:VISI.0000011205.11775.fd","volume":"56","author":"S Baker","year":"2004","unstructured":"Baker S, Matthews I (2004) Lucas-Kanade 20 years on: a unifying framework. Int J Comput Vis 56(3):221\u2013255","journal-title":"Int J Comput Vis"},{"issue":"5","key":"4790_CR3","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1109\/LSP.2014.2310494","volume":"21","author":"Y Chenggang","year":"2014","unstructured":"Chenggang Y, Yongdong Z et al (2014) A Highly Parallel framework for HEVC coding unit partitioning tree decision on many-core processors. IEEE Signal Process Lett 21(5):573\u2013576","journal-title":"IEEE Signal Process Lett"},{"issue":"5","key":"4790_CR4","first-page":"805","volume":"50","author":"Y Chenggang","year":"2014","unstructured":"Chenggang Y, Yongdong Z et al (2014) Parallel deblocking filter for HEVC on many-core processor. Electron Lett 50(5):805\u2013806","journal-title":"Electron Lett"},{"key":"4790_CR5","doi-asserted-by":"crossref","unstructured":"Chenggang Y, Yongdong Z, Feng D, Liang L (2013) Highly parallel framework for HEVC motion estimation on many-core platform. Data Compression Conference (DCC), Snowbird, UT, USA","DOI":"10.1109\/DCC.2013.14"},{"key":"4790_CR6","first-page":"234","volume":"2","author":"RT Collins","year":"2003","unstructured":"Collins RT (2003) Mean-shift blob tracking through scale space. Comp Vis Patt Recog 2:234\u2013240","journal-title":"Comp Vis Patt Recog"},{"volume-title":"Sequential Monte Carlo methods in practice","year":"2001","key":"4790_CR7","unstructured":"Doucet A, de Freitas N, Gordon N (eds) (2001) Sequential Monte Carlo methods in practice. Springer Verlag, New York"},{"issue":"2","key":"4790_CR8","first-page":"107","volume":"140","author":"NJ Gordon","year":"1993","unstructured":"Gordon NJ, Salmond DJ, Smith AFM (1993) Novel approach to nonlinear\/non-Gaussian Bayesian state estimation. IEE Proceedings 140(2):107\u2013113","journal-title":"IEE Proceedings"},{"key":"4790_CR9","first-page":"47","volume":"1","author":"H Grabner","year":"2006","unstructured":"Grabner H, Grabner M, Bischof H (2006) Real-time tracking via on-line boosting. BMVC Conference 1:47\u201356","journal-title":"BMVC Conference"},{"key":"4790_CR10","doi-asserted-by":"crossref","unstructured":"Grabner H, Leistner C, Bischof H (2008) Semi-supervised on-line boosting for robust tracking. Proc of European Conference on Computer Vision pp 234\u2013247","DOI":"10.1007\/978-3-540-88682-2_19"},{"key":"4790_CR11","first-page":"798","volume":"1","author":"GD Hager","year":"2006","unstructured":"Hager GD, Dewan M, Stewart CV (2006) Multiple kernel tracking with SSD. Comp Vis Patt Recog 1:798\u2013805","journal-title":"Comp Vis Patt Recog"},{"issue":"18","key":"4790_CR12","doi-asserted-by":"crossref","first-page":"3823","DOI":"10.1016\/j.neucom.2011.07.024","volume":"74","author":"Y Han-xuan","year":"2011","unstructured":"Han-xuan Y, Feng Z, Liang W, Zhan S, Ling S (2011) Recent advances and trends in visual tracking: a review. J Neurocompt 74(18):3823\u20133831","journal-title":"J Neurocompt"},{"issue":"4","key":"4790_CR13","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/MASSP.1984.1162257","volume":"1","author":"MT Heideman","year":"1984","unstructured":"Heideman MT, Johnson DH, Burrus CS (1984) Gauss and the history of the fast Fourier transform. IEEE ASSP Mag 1(4):14\u201321","journal-title":"IEEE ASSP Mag"},{"issue":"10","key":"4790_CR14","doi-asserted-by":"crossref","first-page":"5473","DOI":"10.1007\/s11042-015-2516-6","volume":"75","author":"G Huang","year":"2016","unstructured":"Huang G, Pun C-M, Lin C, Zhou Y (2016) Non-rigid visual object tracking using user-defined marker and Gaussian kernel. Multimed Tools Appl 75(10):5473\u20135492","journal-title":"Multimed Tools Appl"},{"issue":"1","key":"4790_CR15","first-page":"62","volume":"6","author":"N Ji-feng","year":"2012","unstructured":"Ji-feng N, Lei Z, David Z, Chengke W (2012) Robust mean shift tracking with corrected background-weighted histogram. Comp Vis 6(1):62\u201369","journal-title":"Comp Vis"},{"issue":"1","key":"4790_CR16","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.patcog.2012.07.013","volume":"46","author":"Z Kaihua","year":"2013","unstructured":"Kaihua Z, Huihui S (2013) Real-time visual tracking via online weighted multiple instance learning. Pattern Recogn 46(1):397\u2013411","journal-title":"Pattern Recogn"},{"issue":"1","key":"4790_CR17","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.patcog.2012.07.013","volume":"46","author":"Z Kai-hua","year":"2013","unstructured":"Kai-hua Z, Hui-hui S (2013) Real-time visual tracking via on-line weighted multiple instance learning. Pattern Recogn 46(1):397\u2013411","journal-title":"Pattern Recogn"},{"key":"4790_CR18","first-page":"864","volume":"3","author":"Z Kaihua","year":"2012","unstructured":"Kaihua Z, Lei Z, Ming-Hsuan Y (2012) Real-time compressive tracking. Eur Conf Comput Vision 3:864\u2013877","journal-title":"Eur Conf Comput Vision"},{"key":"4790_CR19","unstructured":"Kai-hua Z, Lei Z, Ming-hsuan Y (2012) Real-time compressive tracking. Proc of European Conference on Computer Vision pp 864\u2013877"},{"key":"4790_CR20","unstructured":"Khenouchi H, et al (2016) The Modulus of the Complex Correlation Coefficient Between Co-Polarized Channels for Oil Spill Observation. Living Planet Symposium 740"},{"issue":"1","key":"4790_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10618600.1996.10474692","volume":"5","author":"G Kitagawa","year":"1996","unstructured":"Kitagawa G (1996) Monte Carlo filter and smoother for non-Gaussian nonlinear state space models. J Comput Graph Stat 5(1):1\u201325","journal-title":"J Comput Graph Stat"},{"key":"4790_CR22","first-page":"28","volume":"10.3","author":"D Koutra","year":"2016","unstructured":"Koutra D et al (2016) D elta C on: principled massive-graph similarity function with attribution. ACM Transactions on Knowledge Discovery from Data (TKDD) 10.3:28","journal-title":"ACM Transactions on Knowledge Discovery from Data (TKDD)"},{"key":"4790_CR23","unstructured":"Lin C, Pun C-M, Huang G (2016) Highly non-rigid video object tracking using segment-based object candidates. Multimedia Tools and Applications 76(7):9565\u20139586"},{"issue":"443","key":"4790_CR24","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1080\/01621459.1998.10473765","volume":"93","author":"JS Liu","year":"1998","unstructured":"Liu JS, Chen R (1998) Sequential Monte Carlo methods for dynamic systems. J Am Stat Assoc 93(443):1032\u20131044","journal-title":"J Am Stat Assoc"},{"key":"4790_CR25","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1002\/9780470974377.ch2","volume-title":"Video tracking: Theroy and practice","author":"E Maggio","year":"2010","unstructured":"Maggio E, Cavallaro A (2010) Video tracking: Theroy and practice. John Wiley and Sons, London, pp 15\u201316"},{"key":"4790_CR26","doi-asserted-by":"crossref","unstructured":"Saffari A, Leistner C, Santner J, Godec M, Bischof H (2009) On-line random forests. Proc of International Conference on Computer Vision pp 1393\u20131400","DOI":"10.1109\/ICCVW.2009.5457447"},{"issue":"2","key":"4790_CR27","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/78.978374","volume":"50","author":"M Sanjeev Arulampalam","year":"2002","unstructured":"Sanjeev 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":"4790_CR28","first-page":"1910","volume":"34","author":"L Sevilla-Lara","year":"2012","unstructured":"Sevilla-Lara L, Learned-Miller E (2012) Distribution fields for tracking. Comp Vis Patt Recog 34:1910\u20131917","journal-title":"Comp Vis Patt Recog"},{"key":"4790_CR29","doi-asserted-by":"crossref","unstructured":"Tang A, Scalzo F (2016) Similarity Metric Learning for 2D to 3D Registration of Brain Vasculature. International Symposium on Visual Computing. Springer International Publishing","DOI":"10.1007\/978-3-319-50835-1_1"},{"key":"4790_CR30","first-page":"511","volume":"1","author":"P Viola","year":"2001","unstructured":"Viola P, Jones M (2001) Rapid object detection using a boosted Cascade of simple features. Comp Vis Patt Recog 1:511\u2013518","journal-title":"Comp Vis Patt Recog"},{"key":"4790_CR31","unstructured":"Wang J, et al (2016) Optimizing top precision performance measure of content-based image retrieval by learning similarity function. arXiv preprint arXiv:1604.06620"},{"issue":"4","key":"4790_CR32","doi-asserted-by":"crossref","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. Journal of ACM Computing Surveys(CSUR) 38(4):13","journal-title":"Journal of ACM Computing Surveys(CSUR)"},{"issue":"7","key":"4790_CR33","first-page":"67","volume":"39","author":"X Yu","year":"2012","unstructured":"Yu X, Xiaojun W, Hongyuan W (2012) Object tracking algorithm based on partial feature combination. Opto-Electron Eng 39(7):67\u201374","journal-title":"Opto-Electron Eng"},{"issue":"9","key":"4790_CR34","first-page":"1075","volume":"39","author":"X Yuan","year":"2012","unstructured":"Yuan X, Yan-yun Q, Cui-hua L (2012) Online multiple instance gradient feature selection for robust visual tracking. Pattern Recogn Lett 39(9):1075\u20131082","journal-title":"Pattern Recogn Lett"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-017-4790-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-4790-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-4790-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T11:17:12Z","timestamp":1719227832000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-017-4790-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,27]]},"references-count":34,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["4790"],"URL":"https:\/\/doi.org\/10.1007\/s11042-017-4790-y","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2017,5,27]]}}}