Robust Face Localisation Using Motion, Colour and Fusion.
Darren Butler, Chris McCool, Matthew Mckay, Scott Lowther, Vinod Chandran, Sridha Sridharan · 2003
Abstract. Face detection is fundamental for several important applications, such as, face recognition and human-computer interaction. This paper details a novel hierarchical face detector which combines motion, colour and late fusion. Motion segmentation is employed to eliminate background clutter and to reduce the initial search space. Subsequently, skin segmentation is used to determine a candidate face. Five simple eye-detection algorithms are fused to robustly localise the eyes within the candidate. Fusion is beneficial because the large amount of variation within the face makes it difficult for any individual technique to perform well under all conditions. The resulting system is capable of localising faces from still images in real-time with an accuracy of 93.75%. 1