A TUNING STRATEGY FOR FACE RECOGNITION IN ROBOTIC APPLICATION

Thierry Germa, Romain Rioux, Michel Devy, Frédéric Lerasle

Abstract

This paper deals with video-based face recognition and tracking from a camera mounted on a mobile robot companion. All persons must be logically identified before being authorized to interact with the robot while continuous tracking is compulsory in order to estimate the position of this person. A first contribution relates to experiments of still-image-based face recognition methods in order to check which image projection and classifier associations lead to the highest performance of the face database acquired from our robot. Our approach, based on Principal Component Analysis (PCA) and Support Vector Machines (SVM) improved by genetic algorithm optimization of the free-parameters, is found to outperform conventional appearance-based holistic classifiers (eigenface and Fisherface) which are used as benchmarks. The integration of face recognition, dedicated to the previously identified person, as intermittent features in the particle filtering framework is well-suited to this context as it facilitates the fusion of different measurement sources by positioning the particles according to face classification probabilities in the importance function. Evaluations on key-sequences acquired by the mobile robot in crowded and continuously changing indoor environments demonstrate the tracker robustness against such natural settings. The paper closes with a discussion of possible extensions.

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Paper Citation


in Harvard Style

Germa T., Rioux R., Devy M. and Lerasle F. (2009). A TUNING STRATEGY FOR FACE RECOGNITION IN ROBOTIC APPLICATION . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 514-522. DOI: 10.5220/0001800105140522


in Bibtex Style

@conference{visapp09,
author={Thierry Germa and Romain Rioux and Michel Devy and Frédéric Lerasle},
title={A TUNING STRATEGY FOR FACE RECOGNITION IN ROBOTIC APPLICATION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={514-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001800105140522},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - A TUNING STRATEGY FOR FACE RECOGNITION IN ROBOTIC APPLICATION
SN - 978-989-8111-69-2
AU - Germa T.
AU - Rioux R.
AU - Devy M.
AU - Lerasle F.
PY - 2009
SP - 514
EP - 522
DO - 10.5220/0001800105140522