Comparative analysis of two techniques for detection and segmentation of moving bodies

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-12-03T13:11:39Z
dc.date.available2014-12-03T13:11:39Z
dc.date.created2014-12-03T13:11:39Z
dc.date.issued2013-01-01
dc.identifier2013 Joint Urban Remote Sensing Event (jurse). New York: IEEE, p. 9-12, 2013.
dc.identifierhttp://hdl.handle.net/11449/113373
dc.identifierWOS:000325634500003
dc.identifier4652635177084963
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.
dc.languageeng
dc.publisherIeee
dc.relation2013 Joint Urban Remote Sensing Event (jurse)
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.titleComparative analysis of two techniques for detection and segmentation of moving bodies
dc.typeActas de congresos


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