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AssigneeXerox Corporation
InventorsMichael J. Black, Allan D. Jepson
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A system tracks and identifies view-based representations of an object through a sequence of images. As the view of the object changes due to its motion or the motion of its recording device, the object is identified by matching an image region containing the object with a set of basis images represented by an eigenspace. The eigenspace is generated from a training set of images which records different views of the object. The system identifies the object in the image region by simultaneously computing a transformation that aligns the image region with the eigenspace, and computing coefficients of a combination of linear eigenvectors that reconstruct the image region. This identification and tracking system operates when views of the object in the image are deformed under some transformation with respect to the eigenspace. Matching between the image region and the eigenspace is performed using a robust regression formulation that uses a coarse to fine strategy with incremental refinement. As the incremental refinement registers the image region with the eigenspace, the identification of a match between the object in an image region and the eigenspace improves. The transformation that warps the image region of a current image frame into alignment with the eigenspace is then used to track the object in a subsequent image frame.
An apparatus for identifying and tracking an object recorded in a sequence of images, comprising:
A method for identifying and tracking an object recorded in a sequence of images, comprising the steps of:
A program storage device readable by a machine, tangibly embodying a program of instructions executable by the machine to perform method steps for identifying and tracking an object recorded in a sequence of images, said method steps comprising:
Dependencies are inferred from the claim text.