A FEATURE GUIDED PARTICLE FILTER FOR ROBUST HAND TRACKING

Matti-Antero Okkonen, Janne Heikkilä, Matti Pietikäinen

2008

Abstract

Particle filtering offers an interesting framework for visual tracking. Unlike the Kalman filter, particle filters can deal with non-linear and non-Gaussian problems, which makes them suitable for visual tracking in presence of real-life disturbance factors, such as background clutter and movement, fast and unpredictable object movement and unideal illumination conditions. This paper presents a robust hand tracking particle filter algorithm which exploits the principle of importance sampling with a novel proposal distribution. The proposal distribution is based on effectively calculated color blob features, propagating the particles robustly through time even in unideal conditions. In addition, a novel method for conditional color model adaptation is proposed. The experiments show that using these methods in the particle filtering framework enables hand tracking with fast movements under real world conditions.

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Paper Citation


in Harvard Style

Okkonen M., Heikkilä J. and Pietikäinen M. (2008). A FEATURE GUIDED PARTICLE FILTER FOR ROBUST HAND TRACKING . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 368-374. DOI: 10.5220/0001078503680374

in Bibtex Style

@conference{visapp08,
author={Matti-Antero Okkonen and Janne Heikkilä and Matti Pietikäinen},
title={A FEATURE GUIDED PARTICLE FILTER FOR ROBUST HAND TRACKING},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={368-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001078503680374},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - A FEATURE GUIDED PARTICLE FILTER FOR ROBUST HAND TRACKING
SN - 978-989-8111-21-0
AU - Okkonen M.
AU - Heikkilä J.
AU - Pietikäinen M.
PY - 2008
SP - 368
EP - 374
DO - 10.5220/0001078503680374