Patent ID: 9262668
Filing Date: 2016-02-16
CPC Classification: G06K

Claim Text:
1. A method for automatic face recognition at a distance, said method comprising: monitoring a scene for a presence of at least one individual using at least one primary camera; tracking said at least one individual moving through said scene using said at least one primary camera; providing tracking and prediction output data from said primary camera to a computer implemented prioritizor module, wherein said tracking and prediction output data is indicative of a predicted location of said at least one individual; compiling a ranked list of individuals comprising said at least one individual being tracked through said scene with said computer implemented prioritizor module according to a predefined set of location criteria comprising proximity to an exit and a subject count criteria comprising the number of individuals in said scene; controlling at least one secondary camera using a computer implemented controller module associated with said computer implemented prioritizor module by aiming said at least one secondary camera at each individual in said scene according to said ranked list provided by said computer implemented prioritizor module; capturing a plurality of high quality facial images of each face present in said scene using said at least one secondary cameras; identifying said at least one individual based on said plurality of high quality facial images using a computer implemented face recognition module; and utilizing a minimization of predicted error for a control of a pan, a tilt, and a zoom of said at least one secondary camera and said at least one primary camera, wherein said predicted error with respect to said an and said tilt is measured based on centering of a face of said at least one individual in at least one of said plurality of high resolution images and wherein said predicted error in said zoom is measured with a face size of said at least one individual in said at least one of said plurality of high resolution images.