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
- URL
- https://idus.us.es/handle//11441/92760
- URN
- urn:oai:idus.us.es:11441/92760
- Origin repository
- USE