By Topic

An Efficient Middleware for Power-Aware Service Reconfiguration in Multi-DSP Smart Cameras

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
A. Doblander ; Institute for Technical Informatics, Graz University of Technology, Inffeldgasse 16/1, 8010 Graz, Austria. E-Mail: ; A. Maier ; B. Rinner ; A. Zoufal

Traffic video surveillance applications are increasingly maturing to intelligent infrastructures based on networks of embedded smart cameras. These smart cameras provide on-board real-time video analysis and streaming. In previous work a hardware platform for a smart camera was proposed. This work now presents a software framework for power-aware service reconfiguration in embedded multiDSP smart cameras. An efficient publisher-subscriber communication scheme together with dynamic loading capabilities enables reconfiguration at runtime. Depending on the observed scenario an optimal camera configuration is chosen. A multicriterion optimizer implemented as a genetic online algorithm continuously computes optimal algorithm configurations by minimizing power-consumption and maximizing quality-of-service. Based on a cost-function an appropriate configuration is chosen among the set of Pareto-optimal solutions

Published in:

2006 2nd International Conference on Information & Communication Technologies  (Volume:2 )

Date of Conference:

0-0 0