%0 Conference Proceedings
%T An Integrated Approach to Contextual Face Detection
%A Santiago Segui
%A Michal Drozdzal
%A Petia Radeva
%A Jordi Vitria
%B 1st International Conference on Pattern Recognition Applications and Methods
%D 2012
%I Springer
%F Santiago Segui2012
%O MILAB; OR;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1895), last updated on Wed, 12 Mar 2014 12:49:07 +0100
%X 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
%U http://refbase.cvc.uab.es/files/SDR2012.pdf
%P 143-150