Methods for Face Localization in Static Colour Images with an Unknown Background

Abstract

This paper analyses the practical application of the methods for face and head localization in colour images with varying background. The Haar Cascade Classifier and Local Binary Pattern were selected as basic methods because of their high efficiency in this type of applications. The results obtained in the test set of images prompted the authors to choose the Haar Cascade Classifier. This method was then implemented in the face detection module, which is part of a comprehensive system for determining the forbidden regions. © Springer International Publishing Switzerland 2014.