Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina

Gómez Rodríguez, Francisco de Asís; Miró Amarante, María Lourdes; Rivas Pérez, Manuel; Jiménez Moreno, Gabriel; Díaz del Río, Fernando

doi:10.1007/978-3-642-21501-8_17

Ponencia

dc.creator	Gómez Rodríguez, Francisco de Asís	es
dc.creator	Miró Amarante, María Lourdes	es
dc.creator	Rivas Pérez, Manuel	es
dc.creator	Jiménez Moreno, Gabriel	es
dc.creator	Díaz del Río, Fernando	es
dc.date.accessioned	2018-02-19T10:04:52Z
dc.date.available	2018-02-19T10:04:52Z
dc.date.issued	2011
dc.identifier.citation	Gómez 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.isbn	978-3-642-21500-1	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	https://hdl.handle.net/11441/70398
dc.description.abstract	This 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.sponsorship	Ministerio de Ciencia e Innovación TEC2009-10639-C04-02	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	IWANN 2011: 11th International Work-Conference on Artificial Neural Networks (2011), p 133-140
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Object tracking	es
dc.subject	Real-time	es
dc.subject	Address Event Representation	es
dc.subject	AER	es
dc.subject	Neuromorphic	es
dc.subject	Neuro-inspired	es
dc.subject	FPGA	es
dc.title	Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores	es
dc.relation.projectID	TEC2009-10639-C04-02	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-642-21501-8_17	es
dc.identifier.doi	10.1007/978-3-642-21501-8_17	es
dc.contributor.group	Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación	es
idus.format.extent	8	es
dc.publication.initialPage	133	es
dc.publication.endPage	140	es
dc.eventtitle	IWANN 2011: 11th International Work-Conference on Artificial Neural Networks	es
dc.eventinstitution	Torremolinos, Málaga, España	es
dc.relation.publicationplace	Berlin	es
dc.identifier.sisius	6526774	es
dc.contributor.funder	Ministerio de Ciencia e Innovación (MICIN). España

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