Patent ID: 7539327
Filing Date: 2009-05-26
Classification: G06T

Abstract:
1. A method in a computer system for tracking at least one object in at least one sequential image, comprising using a computer to perform the following steps: (a) a step for generating a state estimate defining probabilistic configurations of each object for each sequential image by automatically generating a first probability distribution function modeled using a first histogram to represent a range of observed pixel colors; (b) a step for generating observations of pixel color for each sequential image; (c) a step for automatically learning a color-based object model using the state estimate and the observations; (d) a step for computing a second probability distribution function modeled using a second histogram to represent a background for each image; (e) a step for automatically weighting the first and second histograms in relation to the expected relative areas of object and non-object areas, respectively, within each image; and (f) a step for automatically tracking each object using the learned color-based model with a color-based tracking function.