Published February 5, 2020 | Version v1
Publication

Retinal ganglion cell software and FPGA model implementation for object detection and tracking

Description

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.

Abstract

European Commission FP7-ICT-600954

Abstract

Ministerio de Economía y Competitividad TEC2012-37868-C04-02

Abstract

Junta de Andalucía P12-TIC-1300

Additional details

Created:
December 4, 2022
Modified:
November 28, 2023