Real-time stereoscopic object tracking on FPGA using neural networks
Real-time tracking and object recognition is a large field with many possible applications. In this thesis we present a technical demo of a stereoscopic tracking system using artificial neural networks (ANN) and also an overview of the entire system, and its core functions. We have implemented a sys...
| Main Authors: | , |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
Linköpings universitet, Institutionen för systemteknik
2014
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-110374 |