Moeys, Diederick P.Delbrück, TobiasRíos Navarro, José AntonioLinares Barranco, Alejandro2020-02-052020-02-052016Moeys, 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.978-1-4799-5341-72379-447Xhttps://hdl.handle.net/11441/92760This 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.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1109/ISCAS.2016.7527520