Patent ID: 7848548

Claim:
A method for automatically performing robust and efficient demographics classification based on a sequence of facial images of people, using a pose-independent facial image representation, comprising the following steps of: a) capturing a plurality of input images of the people by a plurality of means for capturing images, b) detecting faces in a plurality of images captured from said means for capturing images c) estimating a two-dimensional facial pose and three-dimensional facial pose of the detected face by employing a parallel array of multiple learning machine regressors, d) tracking the faces to keep the identity of the person, e) constructing multiple pose-dependent appearance models of the faces that belong to a given track, and f) performing demographics classification based on a pose-independent face representation, wherein the method further comprises multiple pose-dependent facial appearance models built for tracking and classification, based on an estimated pose of the face, and whereby demographic information can comprise age, gender, and ethnicity information.