TY  - CONF
AU  - Murad Al Haj
AU  - Andrew Bagdanov
AU  - Jordi Gonzalez
AU  - Xavier Roca
A2  - IbPRIA
PY  - 2009//
TI  - Robust and Efficient Multipose Face Detection Using Skin Color Segmentation
T2  - LNCS
BT  - 4th Iberian Conference on Pattern Recognition and Image Analysis
VL  - 5524
PB  - Springer Berlin Heidelberg
N2  - 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.
SN  - 0302-9743
SN  - 978-3-642-02171-8
UR  - http://dx.doi.org/10.1007/978-3-642-02172-5_21
N1  - ISE
ID  - Murad Al Haj2009
ER  -