Sri International

Autodesk, Inc.

John Brian Burns

Aaron J Heller

Richard Lee Marks

Bhaskar S Ramamurthy

Jeffrey Lubin

Girish Acharya

Regis Vincent

David Watters

David S Stoker

Cregg Cowan

Michael A Eriksen

Jan E Van Der Laan

Carl Shapiro

Motilal Agrawal

Douglas Bercow

Bradley J Clymer

Aravind Sundaresan

An identification system includes a radar sensor configured to generate a time-domain or frequency-domain signal representative of electromagnetic waves reflected from one or more objects within a three-dimensional space over a period of time and a computation engine executing on one or more processors. The computation engine is configured to process the time-domain or frequency-domain signal to generate range and velocity data indicating motion by a living subject within the three-dimensional space. The computation engine is further configured to identify, based at least on the range and velocity data indicating the motion by the living subject, the living subject and output an indication of an identity of the living subject.

Identification system for subject or activity identification using range and velocity data

The present invention relates to a method and apparatus for long-range facial and ocular acquisition. One embodiment of a system for acquiring an image of a subject's facial feature(s) includes a steerable telescope configured to acquire the image of the facial feature(s), a first computational imaging element configured to minimize the effect of defocus in the image of the facial feature(s), and a second computational imaging element configured to minimize the effects of motion blur. In one embodiment, the detecting, the acquiring, the minimizing the effect of the motion, and the minimizing the effect of the defocus are performed automatically without a human input.

Method and apparatus for automatically acquiring facial, ocular, and iris images from moving subjects at long-range

In one embodiment, the present invention is a method and apparatus for autonomous object tracking. In one embodiment, a method for tracking a moving object across at least a portion of a video signal made up of a plurality of image frames includes stabilizing the video signal by processing selected portions of selected image frames, detecting at least one movement in the stabilized video signal, and computing a location of the detected movement(s).

Method and apparatus for autonomous object tracking

A system and method which identifies an object in an image. The system accesses a statistical model corresponding to a statistically identifying feature of the object and accesses a characteristic corresponding to a second identifying feature of the object. The system generates a value set from the image, the statistical model, the characteristic, and a geometric relationship. The value set indicates a likely location of the object in the image. The object is located using the value set.

Object tracking system using statistical modeling and geometric

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Palo Alto, CA, United States of America

John Brian Burns