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Background modelling in infrared and visible spectrum video for people tracking
Ó Conaire, Ciarán; Cooke, Eddie; O'Connor, Noel E.; Murphy, Noel; Smeaton, Alan F.
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.
Keyword(s): Digital video; background modelling
Publication Date:
2005
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Ó Conaire, Ciarán, Cooke, Eddie, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135>, Murphy, Noel and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> (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.
Publisher(s): Institute of Electrical and Electronics Engineers
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/240/1/ieee_iccvpr_2005.pdf,
http://dx.doi.org/10.1109/CVPR.2005.419
First Indexed: 2009-11-05 02:00:26 Last Updated: 2019-02-09 07:04:49