Referenced Items are not available for this document.
Fast and robust person reidentification is an important task in multi-camera surveillance and automated access control. We present an efficient appearance-based algorithm, able to reidentify a person regardless of occlusions, distance to the camera, and changes in view and lighting. The use of fast online feature selection techniques enables us to perform reidentification in hyper-real-time for a multi-camera system, by taking only 10 seconds for evaluating 100 minutes of HD-video data. We demonstrate, that our approach surpasses current appearance-based state-of-the-art in reidentification quality and computational speed and sets a new reference in non-biometric reidentification.
Published in:
Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on
Date of Conference: 18-21 Sept. 2012
- Page(s):
- 184 - 190
- Print ISBN:
- 978-1-4673-2499-1
- INSPEC Accession Number:
- 13061407
- Conference Location :
- Beijing
- Digital Object Identifier :
- 10.1109/AVSS.2012.81
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
