A neural bio-inspired scheme for head pose recognition

A bio-inspired model for head pose recognition is described in this paper. The bio-inspired model recognizes the head by using gray scale information as well as the silhouette of the person. A set of descriptors is generated from this analysis by a hierarchical model based on the visual cortex. Then the descriptors are classified by a multilayer perceptron artificial neural network to identify the position of the head. The model is able to recognize five distinct poses with a precision of 98% in images with a resolution of 640×480.