PT Unknown
AU Santiago Segui
   Michal Drozdzal
   Petia Radeva
   Jordi Vitria
TI An Integrated Approach to Contextual Face Detection
BT 1st International Conference on Pattern Recognition Applications and Methods
PY 2012
BP 143
EP 150
AB 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
ER