乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T07:07:52Z","timestamp":1724915272334},"reference-count":47,"publisher":"Elsevier BV","issue":"9","content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2013,9]]},"DOI":"10.1016\/j.imavis.2013.06.003","type":"journal-article","created":{"date-parts":[[2013,6,11]],"date-time":"2013-06-11T12:02:58Z","timestamp":1370952178000},"page":"616-630","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":36,"title":["Improved background modeling for real-time spatio-temporal non-parametric moving object detection strategies"],"prefix":"10.1016","volume":"31","author":[{"given":"Carlos","family":"Cuevas","sequence":"first","affiliation":[]},{"given":"Narciso","family":"Garc\u00eda","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.imavis.2013.06.003_bb0005","first-page":"28","article-title":"2010 gadget census [Consumer Tech Census]","volume":"5","author":"Sangani","year":"2010","journal-title":"Eng. Technol."},{"key":"10.1016\/j.imavis.2013.06.003_bb0010","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1109\/TVCG.2009.99","article-title":"Real-time detection and tracking for augmented reality on mobile phones","volume":"16","author":"Mulloni","year":"2010","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"10.1016\/j.imavis.2013.06.003_bb0015","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1016\/j.imavis.2012.06.015","article-title":"Robust detection of moving objects in video sequences through rough set theory framework","volume":"30","author":"Chiranjeevi","year":"2012","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2013.06.003_bb0020","doi-asserted-by":"crossref","first-page":"72","DOI":"10.4236\/jsip.2011.22010","article-title":"Video frame's background modeling: reviewing the techniques","volume":"2","author":"Hassanpour","year":"2011","journal-title":"J. Signal Inf. Process."},{"key":"10.1016\/j.imavis.2013.06.003_bb0025","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.imavis.2010.08.001","article-title":"Fast image motion segmentation for surveillance applications","volume":"29","author":"Lu","year":"2011","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2013.06.003_bb0030","first-page":"3099","article-title":"Background subtraction techniques: a review","volume":"vol. 4","author":"Piccardi","year":"2004"},{"key":"10.1016\/j.imavis.2013.06.003_bb0035","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s00138-008-0134-2","article-title":"Non-parametric statistical background modeling for efficient foreground region detection","volume":"20","author":"Tavakkoli","year":"2009","journal-title":"Mach. Vis. Appl."},{"key":"10.1016\/j.imavis.2013.06.003_bb0040","first-page":"73","article-title":"Evaluation of local models of dynamic backgrounds","volume":"vol. 2","author":"Pless","year":"2003"},{"key":"10.1016\/j.imavis.2013.06.003_bb0045","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."},{"key":"10.1016\/j.imavis.2013.06.003_bb0050","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1109\/TIP.2010.2075938","article-title":"Regularized background adaptation: a novel learning rate control scheme for Gaussian mixture modeling","volume":"20","author":"Lin","year":"2011","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2013.06.003_bb0055","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.cviu.2005.09.001","article-title":"Unsupervised scene analysis: a hidden Markov model approach","volume":"102","author":"Bicego","year":"2006","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.imavis.2013.06.003_bb0060","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1007\/978-3-642-19309-5_7","article-title":"Modeling complex scenes for accurate moving objects segmentation","volume":"6493","author":"Ding","year":"2011","journal-title":"Lect. Notes Comput. Sci."},{"key":"10.1016\/j.imavis.2013.06.003_bb0065","series-title":"IEEE Int. Conf. Pattern Recognition","first-page":"1","article-title":"Review and evaluation of commonly-implemented background subtraction algorithms","author":"Benezeth","year":"2008"},{"key":"10.1016\/j.imavis.2013.06.003_bb0070","first-page":"302","article-title":"Motion-based background subtraction using adaptive kernel density estimation","volume":"vol. 2","author":"Mittal","year":"2004"},{"key":"10.1016\/j.imavis.2013.06.003_bb0075","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2010\/343057","article-title":"Background subtraction for automated multisensor surveillance: a comprehensive review","volume":"2010","author":"Cristani","year":"2010","journal-title":"EURASIP J. Adv. Signal Process"},{"key":"10.1016\/j.imavis.2013.06.003_bb0080","doi-asserted-by":"crossref","first-page":"1778","DOI":"10.1109\/TPAMI.2005.213","article-title":"Bayesian modeling of dynamic scenes for object detection","volume":"27","author":"Sheikh","year":"2005","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.imavis.2013.06.003_bb0085","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1049\/el:20081420","article-title":"Foreground segmentation based on selective foreground model","volume":"44","author":"Zhang","year":"2008","journal-title":"Electron. Lett."},{"key":"10.1016\/j.imavis.2013.06.003_bb0090","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1007\/978-3-540-88690-7_21","article-title":"Background subtraction on distributions","volume":"5304","author":"Ko","year":"2008","journal-title":"Lect. Notes Comput. Sci."},{"key":"10.1016\/j.imavis.2013.06.003_bb0095","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/TCE.2012.6170063","article-title":"Moving object detection for real-time augmented reality applications in a GPGPU","volume":"58","author":"Cuevas","year":"2012","journal-title":"IEEE Trans. Consum. Electron."},{"key":"10.1016\/j.imavis.2013.06.003_bb0100","doi-asserted-by":"crossref","first-page":"1543","DOI":"10.1109\/TSMCB.2009.2020688","article-title":"Kernel bandwidth estimation for nonparametric modeling","volume":"39","author":"Bors","year":"2009","journal-title":"IEEE Trans. Syst. Man Cybern. B Cybern."},{"key":"10.1016\/j.imavis.2013.06.003_bb0105","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1016\/j.csda.2011.09.022","article-title":"Bayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions","volume":"56","author":"Hu","year":"2012","journal-title":"Comput. Stat. Data Anal."},{"key":"10.1016\/j.imavis.2013.06.003_bb0110","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1109\/LSP.2009.2016447","article-title":"Foreground-adaptive background subtraction","volume":"16","author":"McHugh","year":"2009","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.imavis.2013.06.003_bb0115","series-title":"ACM Workshop on Vision Networks for Behavior Analysis","first-page":"93","article-title":"Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity","author":"Martel-Brisson","year":"2008"},{"key":"10.1016\/j.imavis.2013.06.003_bb0120","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1109\/JPROC.2002.801448","article-title":"Background and foreground modeling using nonparametric kernel density estimation for visual surveillance","volume":"90","author":"Elgammal","year":"2002","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.imavis.2013.06.003_bb0125","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1007\/978-3-642-12307-8_19","article-title":"Towards robust object detection: integrated background modeling based on spatio-temporal features","volume":"5994","author":"Tanaka","year":"2010","journal-title":"Lect. Notes Comput. Sci."},{"key":"10.1016\/j.imavis.2013.06.003_bb0130","doi-asserted-by":"crossref","first-page":"32","DOI":"10.2174\/1874479610801010032","article-title":"Moving object detection in spatial domain using background removal techniques-state-of-art","volume":"1","author":"Elhabian","year":"2008","journal-title":"Recent Patents Comput. Sci."},{"key":"10.1016\/j.imavis.2013.06.003_bb0135","series-title":"IEEE Int. Conf. Computer Vision","first-page":"1219","article-title":"Background subtraction for freely moving cameras","author":"Sheikh","year":"2009"},{"key":"10.1016\/j.imavis.2013.06.003_bb0140","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.patrec.2004.07.013","article-title":"A practical adaptive approach for dynamic background subtraction using an invariant colour model and object tracking","volume":"26","author":"Shoushtarian","year":"2005","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.imavis.2013.06.003_bb0145","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.1109\/TPAMI.2003.1233909","article-title":"Detecting moving objects, ghosts, and shadows in video streams","volume":"25","author":"Cucchiara","year":"2003","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.imavis.2013.06.003_bb0150","first-page":"381","article-title":"A method for background modeling and moving object detection in video surveillance","volume":"vol. 1","author":"Li","year":"2011"},{"key":"10.1016\/j.imavis.2013.06.003_bb0155","series-title":"ACM Int. Workshop on Video Surveillance & Sensor Networks","first-page":"136","article-title":"Real-time and accurate segmentation of moving objects in dynamic scene","author":"Yang","year":"2004"},{"key":"10.1016\/j.imavis.2013.06.003_bb0160","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1007\/3-540-45053-X_48","article-title":"Non-parametric model for background subtraction","volume":"1843","author":"Elgammal","year":"2000","journal-title":"Lect. Notes Comput. Sci."},{"key":"10.1016\/j.imavis.2013.06.003_bb0165","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2008\/197875","article-title":"Robust abandoned object detection using dual foregrounds","volume":"2008","author":"Porikli","year":"2008","journal-title":"EURASIP J. Adv. Signal Process."},{"key":"10.1016\/j.imavis.2013.06.003_bb0170","series-title":"IEEE Workshop on Person-Oriented Vision","first-page":"27","article-title":"A system for automatic and interactive detection of static objects","author":"Evangelio","year":"2011"},{"key":"10.1016\/j.imavis.2013.06.003_bb0175","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1007\/s11704-011-0377-3","article-title":"A temporal-spatial background modeling of dynamic scenes","volume":"5","author":"Hao","year":"2011","journal-title":"Front. Comput. Sci. China"},{"key":"10.1016\/j.imavis.2013.06.003_bb0180","series-title":"IEEE 12th Int. Conf. Computer Vision Workshops","first-page":"1145","article-title":"Spatio-temporal nonparametric background modeling and subtraction","author":"Vemulapalli","year":"2011"},{"key":"10.1016\/j.imavis.2013.06.003_bb0185","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCSVT.2012.2202191","article-title":"Efficient moving object detection for lightweight applications on smart cameras","volume":"23","author":"Cuevas","year":"2013","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"10.1016\/j.imavis.2013.06.003_bb0190","series-title":"IEEE Int. Conf. Dependable Systems and Networks","first-page":"259","article-title":"Tracking probabilistic correlation of monitoring data for fault detection in complex systems","author":"Guo","year":"2006"},{"key":"10.1016\/j.imavis.2013.06.003_bb0195","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/3-540-70659-3_4","article-title":"Reducing the computational cost of computing approximated median strings","volume":"2396","author":"Mart\u00ednez-Hinarejos","year":"2002","journal-title":"Struct. Syntactic Stat. Pattern Recognit."},{"key":"10.1016\/j.imavis.2013.06.003_bb0200","first-page":"297","article-title":"Moving object recognition using an adaptive background memory","volume":"2","author":"Karmann","year":"1990","journal-title":"Time-Varying Image Process. Moving Object Recognit."},{"key":"10.1016\/j.imavis.2013.06.003_bb0205","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1109\/TPAMI.2004.108","article-title":"Learning to detect objects in images via a sparse, part-based representation","volume":"26","author":"Agarwal","year":"2004","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.imavis.2013.06.003_bb0210","series-title":"PETS: Performance Evaluation of Tracking and Surveillance","year":"2000"},{"key":"10.1016\/j.imavis.2013.06.003_bb0215","first-page":"255","article-title":"Wallflower: principles and practice of background maintenance","volume":"vol. 1","author":"Toyama","year":"1999"},{"key":"10.1016\/j.imavis.2013.06.003_bb0220","series-title":"Grupo de Tratamiento de Im\u00e1genes","author":"Lab database","year":"2012"},{"issue":"040501","key":"10.1016\/j.imavis.2013.06.003_bb0225","first-page":"1","article-title":"Kernel bandwidth estimation for moving object detection in non-stabilized cameras","volume":"51","author":"Cuevas","year":"2012","journal-title":"Opt. Eng."},{"key":"10.1016\/j.imavis.2013.06.003_bb0230","doi-asserted-by":"crossref","DOI":"10.1117\/1.3250188","article-title":"Foreground segmentation based on tracking","volume":"48","author":"Zhang","year":"2009","journal-title":"Opt. Eng."},{"key":"10.1016\/j.imavis.2013.06.003_bb0235","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/TPDS.2010.62","article-title":"hiCUDA: high-level GPGPU programming","volume":"22","author":"Han","year":"2011","journal-title":"IEEE Trans. Parallel Distrib. Syst."}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885613000905?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885613000905?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,10,15]],"date-time":"2018-10-15T07:20:29Z","timestamp":1539588029000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885613000905"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,9]]},"references-count":47,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2013,9]]}},"alternative-id":["S0262885613000905"],"URL":"https:\/\/doi.org\/10.1016\/j.imavis.2013.06.003","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2013,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Improved background modeling for real-time spatio-temporal non-parametric moving object detection strategies","name":"articletitle","label":"Article Title"},{"value":"Image and Vision Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.imavis.2013.06.003","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2013 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}