The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 10, 2026

Filed:

Nov. 03, 2021
Applicant:

Old Dominion University, Norfolk, VA (US);

Inventors:

Alexander Merwyn Glandon, Norfolk, VA (US);

Khan Iftekharuddin, Virginia Beach, VA (US);

Assignee:

Old Dominion University, Norfolk, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06V 10/94 (2022.01); G06V 20/40 (2022.01); G06V 10/62 (2022.01); G06V 10/77 (2022.01); G06V 20/64 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06T 7/251 (2017.01); G06V 10/95 (2022.01); G06V 20/41 (2022.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30196 (2013.01); G06V 10/62 (2022.01); G06V 10/7715 (2022.01); G06V 20/64 (2022.01); G06V 40/25 (2022.01);
Abstract

A machine learning system for the identifying, tracking, and prediction of multiple subjects in a series of images or frames. The system including a front-end sensing assembly, and server configured to process images having depth wherein the server is configured to: identify one or more one or more subjects from each frame utilizing the image data and the depth data; compare recognized movement with a gallery of time-series frames as contained in a historical database; determine one or more uncharacteristic motions by comparing motion of each of the relative nodes to characteristic node motions as stored in the historical database; assign nodes following uncharacteristic motions to a new subject; determine whether by assigning the nodes following uncharacteristic motions to a new subject can resolve any uncharacteristic motions of the associated nodes.


Find Patent Forward Citations

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Glandon, Alexander. (2026). System for view invariant 3-d skeleton estimation and human identification using lidar full motion video (U.S. Patent No. 12573061). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12573061

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