Open Access

Video Tracking in Complex Scenes for Surveillance Applications

EURASIP Journal on Image and Video Processing20092008:659098

DOI: 10.1155/2008/659098

Received: 31 December 2008

Accepted: 31 December 2008

Published: 11 March 2009

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Authors’ Affiliations

(1)
Department of Biophysical and Electronic Engineering, University of Genova
(2)
Multimedia and Vision Group, Queen Mary, University of London
(3)
Mitsubishi Electric Research Laboratories (MERL), Mitsubishi Electric Corporation

Copyright

© Carlo S. Regazzoni et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.