Type

Conference Proceedings

Authors

Alan F. Smeaton
Noel Murphy
Noel E. O'Connor
Eddie Cooke
Ciarán Ó Conaire

Subjects

Computer Science

Topics
tracking people background modelling digital video infrared spectrum pedestrian detection visible spectrum video modelling

Background modelling in infrared and visible spectrum video for people tracking (2005)

Abstract 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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Adaptive Information Cluster (AIC)
Ireland -> Dublin City University -> Subject = Computer Science: Digital video
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Alan F. Smeaton, Noel Murphy, Noel E. O'Connor, Eddie Cooke, Ciarán Ó Conaire

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 450
 
2
Noel E. O'Connor
Dublin City University
Total Publications: 420