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dc.creatorGómez Rodríguez, Francisco de Asíses
dc.creatorMiró Amarante, María Lourdeses
dc.creatorRivas Pérez, Manueles
dc.creatorJiménez Moreno, Gabrieles
dc.creatorDíaz del Río, Fernandoes
dc.date.accessioned2018-02-19T10:04:52Z
dc.date.available2018-02-19T10:04:52Z
dc.date.issued2011
dc.identifier.citationGómez Rodríguez, F.d.A., Miró Amarante, M.L., Rivas Pérez, M., Jiménez Moreno, G. y Díaz del Río, F. (2011). Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina. En IWANN 2011: 11th International Work-Conference on Artificial Neural Networks (133-140), Torremolinos, Málaga, España: Springer.
dc.identifier.isbn978-3-642-21500-1es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/70398
dc.description.abstractThis paper presents a hierarchical neuromorphic system for tracking objects. We use AER (Address Event Representation) for transmitting and processing visual information provided by an asynchronous temporal contrast silicon retina. Two AER processing layers work in cascade for firstly detecting different objects, and secondly tracking them even with crossing trajectories. The output of the system offers not only the position of the tracked object but also the speed in pixels per second. The system is fully hardware implemented on FPGA (Spartan II 200), which is part of the USB-AER platform developed in part by authors. A 97.2% of the Spartan II is used for 128x128 pixels input resolution and 6 maximum objects recognition and tracking.es
dc.description.sponsorshipMinisterio de Ciencia e Innovación TEC2009-10639-C04-02es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofIWANN 2011: 11th International Work-Conference on Artificial Neural Networks (2011), p 133-140
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectObject trackinges
dc.subjectReal-timees
dc.subjectAddress Event Representationes
dc.subjectAERes
dc.subjectNeuromorphices
dc.subjectNeuro-inspiredes
dc.subjectFPGAes
dc.titleNeuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retinaes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
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.projectIDTEC2009-10639-C04-02es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-642-21501-8_17es
dc.identifier.doi10.1007/978-3-642-21501-8_17es
dc.contributor.groupUniversidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitaciónes
idus.format.extent8es
dc.publication.initialPage133es
dc.publication.endPage140es
dc.eventtitleIWANN 2011: 11th International Work-Conference on Artificial Neural Networkses
dc.eventinstitutionTorremolinos, Málaga, Españaes
dc.relation.publicationplaceBerlines
dc.identifier.sisius6526774es
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). España

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