Pedestrian tracking using color, thermal and location cue measurements : a DSmT-based framework

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dc.contributor.authorAirouche, Mohamed
dc.contributor.authorBentabet, L.
dc.contributor.authorZelmat, M.
dc.contributor.authorGao, G.
dc.date.accessioned2015-06-11T11:00:51Z
dc.date.available2015-06-11T11:00:51Z
dc.date.issued2012
dc.identifier.issn09328092
dc.identifier.urihttps://dspace.univ-boumerdes.dz123456789/1674
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesMachine Vision and Applications/ Vol.23, N°5 (2012);pp. 999-1010
dc.subjectData fusionen_US
dc.subjectDezert-Smarandache theoryen_US
dc.subjectMultiple cuesen_US
dc.subjectOcclusionen_US
dc.subjectPedestrian trackingen_US
dc.subjectThermal visionen_US
dc.titlePedestrian tracking using color, thermal and location cue measurements : a DSmT-based frameworken_US
dc.typeArticleen_US

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