Target Tracking System Using Multiple Cameras and Bayesian Estimation

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dc.coverage.spatialInternacionales_ES
dc.creatorRedolfi, Javier
dc.creatorGonzález Dondo, Diego
dc.creatorGriffa, Martín
dc.creatorSteiner, Guillermo
dc.creatorCanali, Luis
dc.date.accessioned2019-08-20T20:30:22Z
dc.date.available2019-08-20T20:30:22Z
dc.date.issued2016-08-29
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.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.description.peerreviewedPeer Reviewedes_ES
dc.formatapplication/pdfes_ES
dc.identifier.citationDondo, D. G., Redolfi, J. A., Griffa, M., Steiner, G. M., & Canali, L. R. Target Tracking System Using Multiple Cameras and Bayesian Estimation. IEEE Latin America Transactions, 14(6), 2713-2718.es_ES
dc.identifier.doi10.1109/TLA.2016.7555243
dc.identifier.issn1548-0992
dc.identifier.urihttp://hdl.handle.net/20.500.12272/3891
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.rights.useAtribución-NoComercial-CompartirIgual 4.0 Internacional*
dc.subjecttarget trackinges_ES
dc.subjectparticle filteres_ES
dc.subjectcamera networkes_ES
dc.titleTarget Tracking System Using Multiple Cameras and Bayesian Estimationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.snrdinfo:ar-repo/semantics/artículoes_ES
dc.type.versioninfo:eu-repo/semantics/draftes_ES

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