@InProceedings{MuradAlHaj2009,
author="Murad Al Haj
and Andrew Bagdanov
and Jordi Gonzalez
and Xavier Roca",
title="Robust and Efficient Multipose Face Detection Using Skin Color Segmentation",
booktitle="4th Iberian Conference on Pattern Recognition and Image Analysis",
year="2009",
publisher="Springer Berlin Heidelberg",
volume="5524",
abstract="In this paper we describe an efficient technique for detecting faces in arbitrary images and video sequences. The approach is based on segmentation of images or video frames into skin-colored blobs using a pixel-based heuristic. Scale and translation invariant features are then computed from these segmented blobs which are used to perform statistical discrimination between face and non-face classes. We train and evaluate our method on a standard, publicly available database of face images and analyze its performance over a range of statistical pattern classifiers. The generalization of our approach is illustrated by testing on an independent sequence of frames containing many faces and non-faces. These experiments indicate that our proposed approach obtains false positive rates comparable to more complex, state-of-the-art techniques, and that it generalizes better to new data. Furthermore, the use of skin blobs and invariant features requires fewer training samples since significantly fewer non-face candidate regions must be considered when compared to AdaBoost-based approaches.",
optnote="ISE",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1216), last updated on Tue, 17 Dec 2013 16:04:01 +0100",
isbn="978-3-642-02171-8",
issn="0302-9743",
doi="10.1007/978-3-642-02172-5_21"
}