A database for person re-identification in multi-camera surveillance networks
Bialkowski, Alina, Denman, Simon, Lucey, Patrick, Sridharan, Sridha, & Fookes, Clinton B. (2012) A database for person re-identification in multi-camera surveillance networks. In Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA 12), IEEE, Esplanade Hotel, Fremantle, WA, pp. 1-8.
Person re-identification involves recognising individuals in different locations across a network of cameras and is a challenging task due to a large number of varying factors such as pose (both subject and camera) and ambient lighting conditions. Existing databases do not adequately capture these variations, making evaluations of proposed techniques difficult. In this paper, we present a new challenging multi-camera surveillance database designed for the task of person re-identification. This database consists of 150 unscripted sequences of subjects travelling in a building environment though up to eight camera views, appearing from various angles and in varying illumination conditions. A flexible XML-based evaluation protocol is provided to allow a highly configurable evaluation setup, enabling a variety of scenarios relating to pose and lighting conditions to be evaluated. A baseline person re-identification system consisting of colour, height and texture models is demonstrated on this database.
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|Item Type:||Conference Paper|
|Additional Information:||In this paper, we present a new challenging multi-camera surveillance database (available from https://wiki.qut.edu.au/display/saivt/SAIVT-SoftBio+Database )|
|Keywords:||Soft biometrics, Surveillance, Multi-camera, Unconstrained, Database|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright © 2012 by the Institute of Electrical and Electronic Engineers, Inc. All rights reserved.|
|Copyright Statement:||Copyright and Reprint Permissions
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|Deposited On:||04 Sep 2012 22:07|
|Last Modified:||11 Jan 2015 22:55|
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