Shmuel Peleg

US Patent:

6714665, Mar 30, 2004

Filed:

Dec 3, 1996

Appl. No.:

08/759346

Inventors:

Keith James Hanna - Princeton NJ
Peter J. Burt - Princeton NJ
Shmuel Peleg - Princeton NJ
Douglas F. Dixon - Hopewell NJ
Deepam Mishra - Plainsboro NJ
Lambert E. Wixson - Rocky Hill NJ
Robert Mandlebaum - Philadelphia PA
Peter Coyle - Newtown PA
Joshua R. Herman - Robbinsville NJ

Assignee:

Sarnoff Corporation - Princeton NJ

International Classification:

G06K 900

US Classification:

382117, 382106, 382190, 382209

Abstract:

A recognition system which obtains and analyzes images of at least one object in a scene comprising a wide field of view (WFOV) imager which is used to capture an image of the scene and to locate the object and a narrow field of view (NFOV) imager which is responsive to the location information provided by the WFOV imager and which is used to capture an image of the object, the image of the object having a higher resolution than the image captured by the WFOV imager is disclosed. In one embodiment, a system that obtains and analyzes images of the irises of eyes of a human or animal in an image with little or no active involvement by the human or animal is disclosed. A method for obtaining and analyzing images of at least one object in a scene comprising capturing a wide field of view image of the object to locate the object in the scene; and then using a narrow field of view imager responsive to the location information provided in the capturing step to obtain higher resolution image of the object is also disclosed.

US Patent:

57684472, Jun 16, 1998

Filed:

Jun 14, 1996

Appl. No.:

8/663582

Inventors:

Micahal Irani - Princeton Junction NJ
Shmuel Peleg - Princeton NJ
Padmanabhan Anandan - Lawrenceville NJ

Assignee:

David Sarnoff Research Center, Inc. - Princeton NJ

International Classification:

G06K 900

US Classification:

382305

Abstract:

A method for indexing video sequences relative to a reference model. A system implementing the method includes an (optional) image pre-processor that produces the reference model or is provided the reference model. The pre-processor is then provided input image data such as a video sequence containing a series of frames of a particular scene. The pre-processor performs a transformation to align the images within the video sequence with the reference model. The pre-processor then stores the transformation, the reference model and the image data within a mass storage device such as a hard disk drive. Subsequently, the system provides access to the information stored within the mass storage device through a user interface. The user may recall and position on a computer screen the reference model, select a particular point within the reference model, and request that the system produce all of the image data that contains that particular point within the reference model.