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:
Dec. 06, 2022

Filed:

May. 30, 2022
Applicant:

Bertec Corporation, Columbus, OH (US);

Inventors:

Emre Akbas, Ankara, TR;

Batuhan Karagoz, Ankara, TR;

Necip Berme, Worthington, OH (US);

Mohan Chandra Baro, Columbus, OH (US);

Assignee:

Bertec Corporation, Columbus, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01); G06V 10/75 (2022.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06T 7/73 (2017.01); G06V 10/76 (2022.01); G06V 40/10 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06V 2201/07 (2022.01);
Abstract

A system for estimating a three dimensional pose of one or more persons in a scene is disclosed herein. The system includes one or more cameras and a data processor configured to execute computer executable instructions. The computer executable instructions include: (i) receiving one or more images of the scene from the one or more cameras; (ii) extracting features from the one or more images of the scene for providing inputs to a first branch pose estimation neural network and second branch pose estimation neural network; (iii) generating a first training signal from the second branch pose estimation neural network using a three dimensional reconstruction module for input into the first branch pose estimation neural network; (iv) generating one or more volumetric heatmaps; and (v) applying a maximization function to the one or more volumetric heatmaps to obtain a 3D pose of one or more persons in the scene.


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