Ponencia
Retinal ganglion cell software and FPGA model implementation for object detection and tracking
Autor/es | Moeys, Diederick P.
Delbrück, Tobias Ríos Navarro, José Antonio Linares Barranco, Alejandro |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores |
Fecha de publicación | 2016 |
Fecha de depósito | 2020-02-05 |
Publicado en |
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ISBN/ISSN | 978-1-4799-5341-7 2379-447X |
Resumen | This paper describes the software and FPGA
implementation of a Retinal Ganglion Cell model which detects
moving objects. It is shown how this processing, in conjunction
with a Dynamic Vision Sensor as its input, can be ... This paper describes the software and FPGA implementation of a Retinal Ganglion Cell model which detects moving objects. It is shown how this processing, in conjunction with a Dynamic Vision Sensor as its input, can be used to extrapolate information about object position. Software-wise, a system based on an array of these of RGCs has been developed in order to obtain up to two trackers. These can track objects in a scene, from a still observer, and get inhibited when saccadic camera motion happens. The entire processing takes on average 1000 ns/event. A simplified version of this mechanism, with a mean latency of 330 ns/event, at 50 MHz, has also been implemented in a Spartan6 FPGA. |
Identificador del proyecto | FP7-ICT-600954
TEC2012-37868-C04-02 P12-TIC-1300 |
Cita | Moeys, D.P., Delbrück, T., Ríos Navarro, J.A. y Linares Barranco, A. (2016). Retinal ganglion cell software and FPGA model implementation for object detection and tracking. En ISCAS 2016: IEEE International Symposium on Circuits and Systems (1434-1437), Montreal, QC, Canada: IEEE Computer Society. |
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