1. A computer-based method for tracking a location of an object within two or more digital images of a set of digital images, the method comprising the steps of: receiving a first image vector representing a first image within the set of digital images; determining the location of the object from said first image vector; applying a dynamic model to said first image vector to determine a possible motion of the object between said first image vector and a successive image vector representing a second image within the set of digital images; applying an observation model to said first image vector to determine a most likely location of the object within said successive image vector from a set of possible locations of the object within said successive image vector; applying an inference model to said dynamic model and to said observation model to predict said most likely location of the object; and updating an Eigenbasis representing an image space of the two or more digital images.