Exploiting fuzzy approximator to head pose estimation

Head pose estimation is an important problem in computer vision and also a key task for visual surveillance, human computer interaction and face recognition applications. Most of the works in this field suffer from lack of continuous estimating of the head pose. Fuzzy systems are known as universal approximator capable of approximating an unknown function by having just few limited information. In this paper, a new approach is proposed for estimating the rotation angle of the head along horizontal axis based on a fuzzy approximator which is able to provide a continuous estimate of the head along horizontal axis with high acceptable accuracy, low computational cost while avoiding from getting involved into complex mathematical equations. Experiments proved our claim that. © 2010 Division of Signal Processin.