A ROBUST NON-LINEAR FACE DETECTOR

Antonio Rama, Francesc Tarrés, Jacek Naruniec

Abstract

A novel face detector using the non-linear Fuzzy Integral operator is presented in this paper. The main advantage of this method is that it has a much lower false detection rate with the same optimal set of features as the state-of-the art Adaboost face detector. Furthermore, this novel face detector seems to have a better generalization capability than the Adaboost method. Preliminary results show a positive face detection rate higher than the 92% having a false detection rate lower than the 2% when using a four stage cascade scheme.

References

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Paper Citation


in Harvard Style

Rama A., Tarrés F. and Naruniec J. (2007). A ROBUST NON-LINEAR FACE DETECTOR . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 411-416. DOI: 10.5220/0002137704110416


in Bibtex Style

@conference{sigmap07,
author={Antonio Rama and Francesc Tarrés and Jacek Naruniec},
title={A ROBUST NON-LINEAR FACE DETECTOR},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={411-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002137704110416},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - A ROBUST NON-LINEAR FACE DETECTOR
SN - 978-989-8111-13-5
AU - Rama A.
AU - Tarrés F.
AU - Naruniec J.
PY - 2007
SP - 411
EP - 416
DO - 10.5220/0002137704110416