ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK

Wasit Limprasert, Andrew Wallace, Greg Michaelson

2012

Abstract

We present an approach to tracking multiple human subjects within a camera network. A particle filter framework is used in which we combine foreground-background subtraction with a novel approach to texture learning and likelihood computation based on an ellipsoid model. As there are inevitable problems with multiple subjects due to occlusion and crossing, we include a robust method to suppress distraction between subjects. To achieve real-time performance, we have also developed our code on a graphics processing unit to achieve a 10-fold reduction in processing time with an approximate frame rate of 10 frames per second.

Paper Citation

in Harvard Style

Limprasert W., Wallace A. and Michaelson G. (2012). ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 225-234. DOI: 10.5220/0003813802250234

in Bibtex Style

@conference{visapp12,
author={Wasit Limprasert and Andrew Wallace and Greg Michaelson},
title={ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={225-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003813802250234},
isbn={978-989-8565-04-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK
SN - 978-989-8565-04-4
AU - Limprasert W.
AU - Wallace A.
AU - Michaelson G.
PY - 2012
SP - 225
EP - 234
DO - 10.5220/0003813802250234