dc.creator | Domínguez Morales, Manuel Jesús | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Paz Vicente, Rafael | es |
dc.creator | López-Torres, Manuel Ramón. | es |
dc.creator | Cerezuela Escudero, Elena | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.creator | Jiménez Moreno, Gabriel | es |
dc.creator | Morgado Estévez, Arturo | es |
dc.date.accessioned | 2019-12-26T10:24:01Z | |
dc.date.available | 2019-12-26T10:24:01Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Domínguez Morales, M.J., Jiménez Fernández, Á.F., Paz Vicente, R., López Torres, M.R., Cerezuela Escudero, E., Linares Barranco, A.,...,Morgado, A. (2011). An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation. En ICONIP 2011: 18th International Conference on Neural Information Processing (190-198), Shanghai, China: Springer. | |
dc.identifier.isbn | 978-3-642-24954-9 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/91254 | |
dc.description.abstract | Image processing in digital computer systems usually considers the
visual information as a sequence of frames. These frames are from cameras that
capture reality for a short period of time. They are renewed and transmitted at a
rate of 25-30 fps (typical real-time scenario). Digital video processing has to
process each frame in order to obtain a result or detect a feature. In stereo
vision, existing algorithms used for distance estimation use frames from two
digital cameras and process them pixel by pixel to obtain similarities and
differences from both frames; after that, depending on the scene and the
features extracted, an estimate of the distance of the different objects of the
scene is calculated. Spike-based processing is a relatively new approach that
implements the processing by manipulating spikes one by one at the time they
are transmitted, like a human brain. The mammal nervous system is able to
solve much more complex problems, such as visual recognition by
manipulating neuron spikes. The spike-based philosophy for visual information
processing based on the neuro-inspired Address-Event-Representation (AER) is
achieving nowadays very high performances. In this work we propose a two-
DVS-retina system, composed of other elements in a chain, which allow us to
obtain a distance estimation of the moving objects in a close environment. We
will analyze each element of this chain and propose a Multi Hold&Fire
algorithm that obtains the differences between both retinas. | 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 | ICONIP 2011: 18th International Conference on Neural Information Processing (2011), p 190-198 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Stereo vision | es |
dc.subject | Distance calculation | es |
dc.subject | Address-event-representation | es |
dc.subject | Spike | es |
dc.subject | Retina | es |
dc.subject | Neuromorphic engineering | es |
dc.subject | Co-design | es |
dc.subject | Hold&Fire | es |
dc.subject | FPGA | es |
dc.subject | VHDL | es |
dc.title | An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
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/10.1007/978-3-642-24955-6_23 | es |
dc.identifier.doi | 10.1007/978-3-642-24955-6_23 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 9 | es |
dc.publication.initialPage | 190 | es |
dc.publication.endPage | 198 | es |
dc.eventtitle | ICONIP 2011: 18th International Conference on Neural Information Processing | es |
dc.eventinstitution | Shanghai, China | es |
dc.relation.publicationplace | Berlin | es |
dc.identifier.sisius | 20033095 | es |