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dc.coverage.spatialNacionales_ES
dc.creatorGonzález Dondo, Diego
dc.creatorRedolfi, Javier
dc.creatorGriffa, Martín
dc.creatorSteiner, Guillermo
dc.creatorCanali, Luis
dc.date.accessioned2019-08-26T21:37:08Z
dc.date.available2019-08-26T21:37:08Z
dc.date.issued2015-10
dc.identifier.citationDondo, D. G., Redolfi, J., Griffa, M., Steiner, G., & Canali, L. Target tracking system using multiple cameras and Bayesian estimation. In 2015 XVI Workshop on Information Processing and Control (RPIC) (pp. 1-6). IEEE. (2015, October)es_ES
dc.identifier.isbn978-1-4673-8466-7
dc.identifier.urihttp://hdl.handle.net/20.500.12272/3925
dc.description.abstractIn recent years, the increase in amount of camera networks available has led to the rise up of new techniques and applications of signal processing. In this work, an implementation of image sensor network, cameras, for mobile target tracking is shown. More specifically, it is performed an application of particle filter in a distributed way, based on leader agents for state estimation. Finally, simulations are presented, as well as a real experiment made with a camera network to track a mobile platform.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectseguimiento de objetivoses_ES
dc.subjectfiltro de películases_ES
dc.subjectredes de cámarases_ES
dc.titleSistema de seguimiento de objetivos usando múltiples cámaras y estimación Bayesianaes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.description.affiliationFil: Gonzalez Dondo, Diego (1); Redolfi, Javier (1); Griffa, Martín (1); Steiner, Guillermo (1); Canali, Luis (1) (1) CIII. UTN Facultad Regional Córdoba ; Argentina.es_ES
dc.type.versioninfo:eu-repo/semantics/draftes_ES
dc.type.snrdinfo:ar-repo/semantics/documento de conferenciaes_ES
dc.rights.useAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.identifier.doi10.1109/RPIC.2015.7497165


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