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Background modelling in infrared and visible spectrum video for people tracking

Ó Conaire, Ciarán and Cooke, Eddie and O'Connor, Noel E. and Murphy, Noel and Smeaton, Alan F. (2005) Background modelling in infrared and visible spectrum video for people tracking. In: International Conference on Computer Vision and Pattern Recognition, 20-25 June 2005, San Diego, California.

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In this paper, we present our approach to robust background modelling which combines visible and thermal infrared spectrum data. Our work is based on the non-parametric background model describe in 1. We use a pedestrian detection module to prevent erroneous data from becoming part of the background model and this allows us to initialise our bacjground model, even in the presence of foreground objects. Visible and infrared features are use to remove incorrectly detected foreground regions. Allowing our model to quickly recover from ghost regions and rapid lighting changes. An object-based shadow detector also improves our algorithm's performance.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:background modelling;
Subjects:Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:Copyright © 2005 IEEE. Reprinted from International Conference on Computer Vision and Pattern Recognition. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:Science Foundation Ireland, SFI 03/IN.3/1361, Irish Research Council for Science Engineering and Technology
ID Code:240
Deposited On:06 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 16:50

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