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.

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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