@InProceedings{SantiagoSegui2012,
author="Santiago Segui
and Michal Drozdzal
and Petia Radeva
and Jordi Vitria",
title="An Integrated Approach to Contextual Face Detection",
booktitle="1st International Conference on Pattern Recognition Applications and Methods",
year="2012",
publisher="Springer",
pages="143--150",
abstract="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 {\textquoteright}faceness{\textquoteright} 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",
optnote="MILAB; OR;MV",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1895), last updated on Wed, 12 Mar 2014 12:49:07 +0100",
file=":http://refbase.cvc.uab.es/files/SDR2012.pdf:PDF"
}