iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.crossref.org/works/10.1016/J.NEUCOM.2011.02.013
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T16:51:06Z","timestamp":1656867066254},"reference-count":34,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2011,5,1]],"date-time":"2011-05-01T00:00:00Z","timestamp":1304208000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2011,5]]},"DOI":"10.1016\/j.neucom.2011.02.013","type":"journal-article","created":{"date-parts":[[2011,4,18]],"date-time":"2011-04-18T13:43:39Z","timestamp":1303134219000},"page":"1681-1695","source":"Crossref","is-referenced-by-count":9,"title":["Online learning neural tracker"],"prefix":"10.1016","volume":"74","author":[{"given":"S.","family":"Suresh","sequence":"first","affiliation":[]},{"given":"F.","family":"Br\u00e9mond","sequence":"additional","affiliation":[]},{"given":"M.","family":"Thonnat","sequence":"additional","affiliation":[]},{"given":"H.J.","family":"Kim","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"8","key":"10.1016\/j.neucom.2011.02.013_bib1","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1109\/34.868677","article-title":"Learning patterns of activity using real-time tracking","volume":"22","author":"Stauffer","year":"2000","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"10.1016\/j.neucom.2011.02.013_bib2","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.1109\/5.959341","article-title":"Algorithms for cooperative multi-sensor surveillance","volume":"89","author":"Collins","year":"2001","journal-title":"Proc. IEEE"},{"issue":"5","key":"10.1016\/j.neucom.2011.02.013_bib3","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1109\/TPAMI.2003.1195991","article-title":"Kernel-based object tracking","volume":"25","author":"Comaniciu","year":"2003","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"10.1016\/j.neucom.2011.02.013_bib4","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1109\/34.927467","article-title":"Active appearance models","volume":"25","author":"Cootes","year":"2001","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"10.1016\/j.neucom.2011.02.013_bib5","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1023\/B:VISI.0000029666.37597.d3","article-title":"Active appearance models revisited","volume":"60","author":"Matthews","year":"2004","journal-title":"Int. J. Comput. Vision"},{"issue":"8","key":"10.1016\/j.neucom.2011.02.013_bib6","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1109\/TPAMI.2004.53","article-title":"Support vector tracking","volume":"26","author":"Avidan","year":"2004","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"10.1016\/j.neucom.2011.02.013_bib7","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1109\/TPAMI.2007.35","article-title":"Ensemble tracking","volume":"29","author":"Avidan","year":"2007","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2011.02.013_bib8","first-page":"937","article-title":"Robust object tracking with radial basis function networks","volume":"vol. 1","author":"Venkatesh Babu","year":"2007"},{"issue":"8","key":"10.1016\/j.neucom.2011.02.013_bib9","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1109\/TPAMI.2005.167","article-title":"Sparse Bayesian learning for efficient visual tracking","volume":"27","author":"Williams","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2011.02.013_bib10","first-page":"410","article-title":"Fusion of motion segmentation with online adaptive neural classifier for robust tracking","volume":"vol. 2","author":"Bak","year":"2009"},{"key":"10.1016\/j.neucom.2011.02.013_bib11","first-page":"172","article-title":"Manifold learning for object tracking with multiple motion dynamics","volume":"vol. 6313","author":"Nascimento","year":"2010"},{"key":"10.1016\/j.neucom.2011.02.013_bib12","series-title":"Proceedings of Computer Vision and Pattern Recognition","first-page":"1323","article-title":"Visual tracking via weakly supervised learning from multiple imperfect oracles","author":"Zhong","year":"2010"},{"issue":"4","key":"10.1016\/j.neucom.2011.02.013_bib13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1177352.1177355","article-title":"Object tracking: a survey","volume":"38","author":"Yilmaz","year":"2006","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.neucom.2011.02.013_bib14","doi-asserted-by":"crossref","unstructured":"F. Cupillard, F. Br\u00e9mond, M. Thonnat, Tracking group of people for video surveillance, in: Proceedings of the Second European Workshop on Advanced Video-Based Surveillance System, University of Kingston, London, 2001.","DOI":"10.1007\/978-1-4615-0913-4_7"},{"issue":"2","key":"10.1016\/j.neucom.2011.02.013_bib15","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1162\/neco.1997.9.2.461","article-title":"A sequential learning scheme for function approximation using minimal radial basis function RBF neural networks","volume":"9","author":"Yingwei","year":"1997","journal-title":"Neural Comput."},{"issue":"6","key":"10.1016\/j.neucom.2011.02.013_bib16","doi-asserted-by":"crossref","first-page":"2284","DOI":"10.1109\/TSMCB.2004.834428","article-title":"An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks","volume":"34","author":"Huang","year":"2004","journal-title":"IEEE Trans. Syst. Man Cybern. B"},{"issue":"7\u20139","key":"10.1016\/j.neucom.2011.02.013_bib17","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1016\/j.neucom.2007.06.003","article-title":"A sequential multi-category classifier using radial basis function networks","volume":"71","author":"Suresh","year":"2008","journal-title":"Neurocomputing"},{"issue":"12","key":"10.1016\/j.neucom.2011.02.013_bib18","doi-asserted-by":"crossref","first-page":"2621","DOI":"10.1016\/j.ins.2008.02.009","article-title":"Risk sensitive loss functions for sparse multi-category classification problems","volume":"178","author":"Suresh","year":"2008","journal-title":"Inf. Sci."},{"issue":"1","key":"10.1016\/j.neucom.2011.02.013_bib19","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1214\/aos\/1079120130","article-title":"Statistical behavior and consistency of classification methods based on convex risk minimization","volume":"32","author":"Zhang","year":"2003","journal-title":"Ann. Stat."},{"key":"10.1016\/j.neucom.2011.02.013_bib20","first-page":"801","article-title":"Adaptive discriminative generative model and its applications","volume":"vol. 17","author":"Lin","year":"2004"},{"key":"10.1016\/j.neucom.2011.02.013_bib21","first-page":"446","article-title":"Tracking aspects of the foreground against the background","volume":"vol. II","author":"Nguyen","year":"2004"},{"issue":"10","key":"10.1016\/j.neucom.2011.02.013_bib22","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1109\/TPAMI.2005.205","article-title":"Online selection of discriminative tracking features","volume":"27","author":"Collins","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.neucom.2011.02.013_bib23","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/S0262-8856(02)00129-4","article-title":"An adaptive color-based particle filter","volume":"21","author":"Nummiaro","year":"2003","journal-title":"Image Vision Comput."},{"key":"10.1016\/j.neucom.2011.02.013_bib24","first-page":"234","article-title":"Mean-shift blob tracking through scale space","volume":"vol. 2","author":"Collins","year":"2003"},{"issue":"10","key":"10.1016\/j.neucom.2011.02.013_bib25","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1109\/TPAMI.2003.1233903","article-title":"Robust online appearance model for visual tracking","volume":"25","author":"Jepson","year":"2003","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2011.02.013_bib26","first-page":"782","article-title":"Visual tracking using learned linear subspaces","volume":"vol. 1","author":"Ho","year":"2004"},{"key":"10.1016\/j.neucom.2011.02.013_bib27","series-title":"Proceedings of IEEE Intelligent Transportation Systems","first-page":"516","article-title":"Learning algorithm for real-time vehicle tracking","author":"Daniel","year":"2006"},{"key":"10.1016\/j.neucom.2011.02.013_bib28","doi-asserted-by":"crossref","unstructured":"A.T. Nghiem, F. Br\u00e9mond, M. Thonnat, V. Valentin, Etiseo, an evaluation project for video surveillance systems, in: IEEE International Conference on Advanced Video and Signal based Surveillance, London, UK, 2007.","DOI":"10.1109\/AVSS.2007.4425357"},{"issue":"3","key":"10.1016\/j.neucom.2011.02.013_bib29","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.cviu.2009.10.004","article-title":"Online adaptive radial basis function networks for robust object tracking","volume":"114","author":"Babu","year":"2010","journal-title":"Comput. Vision Image Understanding"},{"issue":"2","key":"10.1016\/j.neucom.2011.02.013_bib30","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1109\/72.279191","article-title":"Neurocontrol of nonlinear dynamical systems with kalman filter trained recurrent networks","volume":"5","author":"Puskorius","year":"1994","journal-title":"IEEE Trans. Neural Networks"},{"issue":"14","key":"10.1016\/j.neucom.2011.02.013_bib31","doi-asserted-by":"crossref","first-page":"2359","DOI":"10.1155\/ASP.2005.2359","article-title":"Design and assessment of an intelligent activity monitoring platform","volume":"2005","author":"Avanzi","year":"2005","journal-title":"EURASIP J. Appl. Signal Process."},{"key":"10.1016\/j.neucom.2011.02.013_bib32","unstructured":"ETISEO, Video understanding evaluation, \u3008http:\/\/www-sop.inria.fr\/orion\/ETISEO\u3009, 2007."},{"issue":"2","key":"10.1016\/j.neucom.2011.02.013_bib33","first-page":"1","article-title":"Computer vision face tracking for use in a perceptual user interface","volume":"2","author":"Bradski","year":"1998","journal-title":"Intel Technol. J."},{"issue":"7","key":"10.1016\/j.neucom.2011.02.013_bib34","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1016\/j.engappai.2010.06.009","article-title":"Performance enhancement of extreme learning machine for multi-category sparse data classification problems","volume":"23","author":"Suresh","year":"2010","journal-title":"Eng. Appl. Artif. Intell."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231211001330?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231211001330?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,6,10]],"date-time":"2019-06-10T03:47:38Z","timestamp":1560138458000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231211001330"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,5]]},"references-count":34,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2011,5]]}},"alternative-id":["S0925231211001330"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2011.02.013","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2011,5]]}}}