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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/113373
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dc.contributor.authorFilitto, Danilo-
dc.contributor.authorHasegawa, Julio Kiyoshi-
dc.contributor.authorPolidorio, Airton Marco-
dc.contributor.authorFlores, Franklin Cesar-
dc.contributor.authorIEEE-
dc.date.accessioned2014-12-03T13:11:39Z-
dc.date.accessioned2016-10-25T20:14:44Z-
dc.date.available2014-12-03T13:11:39Z-
dc.date.available2016-10-25T20:14:44Z-
dc.date.issued2013-01-01-
dc.identifierhttp://dx.doi.org/10.1109/JURSE#.2013.6550653-
dc.identifier.citation2013 Joint Urban Remote Sensing Event (jurse). New York: IEEE, p. 9-12, 2013.-
dc.identifier.urihttp://hdl.handle.net/11449/113373-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/113373-
dc.description.abstractThis paper makes a comparative analysis of results produced by the application of two techniques for the detection and segmentation of bodies in motion captured in images sequence, namely: 1) technique based on the temporal average of the values of each pixel recorded in N consecutive image frames and, 2) technique based on historical values associated with pixels recorded in different frames of an image sequence.en
dc.format.extent9-12-
dc.language.isoeng-
dc.publisherIeee-
dc.sourceWeb of Science-
dc.titleComparative analysis of two techniques for detection and segmentation of moving bodiesen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista UNESP, UEM, Dept Informat DIN, Dept Cartog, Maringa, Presidente Prud, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista UNESP, UEM, Dept Informat DIN, Dept Cartog, Maringa, Presidente Prud, Brazil-
dc.identifier.wosWOS:000325634500003-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2013 Joint Urban Remote Sensing Event (jurse)-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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