1. A method for tracking heads and faces, comprising the steps of: activating a channel for collecting data comprising perceived locations of designated features of one of heads and faces; collecting the data for each feature during a sequence of frames; generating, for each feature, one or more representation models based on the collected data, wherein for at least one feature, complementary representation models are generated, and wherein each complementary representation model comprises data reflecting the perceived location of the feature to which it corresponds; comparing the complementary representation models corresponding to the at least one feature to generate correlated data; and combining the correlated data into a single representation, wherein said comparing step comprises the steps of: defining a distance metric for each of the complementary representation models corresponding to the at least one feature; positioning the complementary representation models adjacent a common interface; measuring the mutual overlap of the complementary representation models; and collecting, based on the overlap, information representing areas of correlation between the complementary representation models.