ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK

Wasit Limprasert; Andrew Wallace; Greg Michaelson

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Paper

ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK

Topics: Object Detection and Localization; Tracking and Visual Navigation; Video Surveillance and Event Detection

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 225-234, 2012 , Rome, Italy

Authors: Wasit Limprasert ; Andrew Wallace and Greg Michaelson

Affiliation: Heriot-Watt University, United Kingdom

Keyword(s): People Tracking, Particle Filter, CUDA.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

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 several formats:

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 (VISIGRAPP 2012) - Volume 1: VISAPP; ISBN 978-989-8565-04-4; ISSN 2184-4321, SciTePress, pages 225-234. DOI: 10.5220/0003813802250234

@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 (VISIGRAPP 2012) - Volume 1: VISAPP},
year={2012},
pages={225-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003813802250234},
isbn={978-989-8565-04-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP
TI - ACCELERATED PEOPLE TRACKING USING TEXTURE IN A CAMERA NETWORK
SN - 978-989-8565-04-4
IS - 2184-4321
AU - Limprasert, W.
AU - Wallace, A.
AU - Michaelson, G.
PY - 2012
SP - 225
EP - 234
DO - 10.5220/0003813802250234
PB - SciTePress