Mostrar el registro sencillo del ítem

Ponencia

dc.creatorLinares Barranco, Alejandroes
dc.creatorGómez Rodríguez, Francisco de Asíses
dc.creatorVillanueva, V.es
dc.creatorLonginotti, L.es
dc.creatorDelbrück, T.es
dc.date.accessioned2020-02-12T06:58:53Z
dc.date.available2020-02-12T06:58:53Z
dc.date.issued2015
dc.identifier.citationLinares Barranco, A., Gómez Rodríguez, F.d.A., Villanueva, V., Longinotti, L. y Delbrück, T. (2015). A USB3.0 FPGA Event-based Filtering and Tracking Framework for Dynamic Vision Sensors. En ISCAS 2015: IEEE International Symposium on Circuits and Systems (2417-2420), Lisboa, Portugal: IEEE Computer Society.
dc.identifier.isbn978-1-4799-8391-9es
dc.identifier.issn0271-4302es
dc.identifier.urihttps://hdl.handle.net/11441/92905
dc.description.abstractDynamic vision sensors (DVS) are frame-free sensors with an asynchronous variable-rate output that is ideal for hard real-time dynamic vision applications under power and latency constraints. Post-processing of the digital sensor output can reduce sensor noise, extract low level features, and track objects using simple algorithms that have previously been implemented in software. In this paper we present an FPGA-based framework for event-based processing that allows uncorrelated-event noise removal and real-time tracking of multiple objects, with dynamic capabilities to adapt itself to fast or slow and large or small objects. This framework uses a new hardware platform based on a Lattice FPGA which filters the sensor output and which then transmits the results through a super-speed Cypress FX3 USB microcontroller interface to a host computer. The packets of events and timestamps are transmitted to the host computer at rates of 10 Mega events per second. Experimental results are presented that demonstrate a low latency of 10us for tracking and computing the center of mass of a detected object.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TEC2012-37868-C04-02es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherIEEE Computer Societyes
dc.relation.ispartofISCAS 2015: IEEE International Symposium on Circuits and Systems (2015), p 2417-2420
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleA USB3.0 FPGA Event-based Filtering and Tracking Framework for Dynamic Vision Sensorses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadoreses
dc.relation.projectIDTEC2012-37868-C04-02es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/7169172es
dc.identifier.doi10.1109/ISCAS.2015.7169172es
dc.contributor.groupUniversidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitaciónes
idus.format.extent4es
dc.publication.initialPage2417es
dc.publication.endPage2420es
dc.eventtitleISCAS 2015: IEEE International Symposium on Circuits and Systemses
dc.eventinstitutionLisboa, Portugales
dc.relation.publicationplaceNew York, USAes

FicherosTamañoFormatoVerDescripción
A USB3.0 FPGA.pdf968.8KbIcon   [PDF] Ver/Abrir  

Este registro aparece en las siguientes colecciones

Mostrar el registro sencillo del ítem

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional