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Authors: Antonio Rama 1 ; Francesc Tarrés 1 and Jacek Naruniec 2

Affiliations: 1 Universitat Politècnica de Catalunya (UPC), Spain ; 2 Faculty of Electronics and Information Technology, Warsaw University of Technology (IPW), Poland

Keyword(s): Face detection, fuzzy integral, adaboost.

Related Ontology Subjects/Areas/Topics: Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Telecommunications

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.

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Paper citation in several formats:
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 (ICETE 2007) - SIGMAP; ISBN 978-989-8111-13-5, SciTePress, pages 411-416. DOI: 10.5220/0002137704110416

@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 (ICETE 2007) - SIGMAP},
year={2007},
pages={411-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002137704110416},
isbn={978-989-8111-13-5},
}

TY - CONF

JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications (ICETE 2007) - SIGMAP
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
PB - SciTePress