Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià


Face detection is, in general, based on content-based detectors. Nevertheless, the face is a non-rigid object with well defined relations with respect to the human body parts. In this paper, we propose to take benefit of the context information in order to improve content-based face detections. We propose a novel framework for integrating multiple content- and context-based detectors in a discriminative way. Moreover, we develop an integrated scoring procedure that measures the ’faceness’ of each hypothesis and is used to discriminate the detection results. Our approach detects a higher rate of faces while minimizing the number of false detections, giving an average increase of more than 10% in average precision when comparing it to state-of-the art face detectors.


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Paper Citation

in Harvard Style

Seguí S., Drozdzal M., Radeva P. and Vitrià J. (2012). AN INTEGRATED APPROACH TO CONTEXTUAL FACE DETECTION . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 90-97. DOI: 10.5220/0003746200900097

in Bibtex Style

author={Santi Seguí and Michal Drozdzal and Petia Radeva and Jordi Vitrià},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},

in EndNote Style

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
SN - 978-989-8425-99-7
AU - Seguí S.
AU - Drozdzal M.
AU - Radeva P.
AU - Vitrià J.
PY - 2012
SP - 90
EP - 97
DO - 10.5220/0003746200900097