Distributed FPGA-based smart camera architecture for computer vision applications

Smart camera networks (SCN) raise challenging issues in many fields of research, including vision processing, communication protocols, distributed algorithms or power management. Furthermore, application logic in SCN is not centralized but spread among network nodes meaning that each node must have...

Full description

Saved in:
Bibliographic Details
Published in2013 Seventh International Conference on Distributed Smart Cameras (ICDSC) pp. 1 - 2
Main Authors Bourrasset, Cedric, Maggianiy, Luca, Serot, Jocelyn, Berry, Francois, Pagano, Paolo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2013
Subjects
Computer architecture
Conferences
Feature extraction
Field programmable gate arrays
Image sensors
Smart cameras
Online AccessGet full text

Cover

More Information
Summary:Smart camera networks (SCN) raise challenging issues in many fields of research, including vision processing, communication protocols, distributed algorithms or power management. Furthermore, application logic in SCN is not centralized but spread among network nodes meaning that each node must have to process images to extract significant features, and aggregate data to understand the surrounding environment. In this context, smart camera have first embedded general purpose processor (GPP) for image processing. Since image resolution increases, GPPs have reached their limit to maintain real-time processing constraint. More recently, FPGA-based platforms have been studied for their massive parallelism capabilities. This paper present our new FPGA-based smart camera platform supporting cooperation between nodes and run-time updatable image processing. The architecture is based on a full reconfigurable pipeline driven by a softcore.
DOI:10.1109/ICDSC.2013.6778245