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:
May. 09, 2023

Filed:

Aug. 24, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Lijuan Wang, Bellevue, WA (US);

Kevin Lin, Seattle, WA (US);

Zicheng Liu, Bellevue, WA (US);

Kun Luo, Redmond, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/10 (2022.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06T 7/10 (2017.01); G06F 17/15 (2006.01);
U.S. Cl.
CPC ...
G06N 3/0454 (2013.01); G06F 17/15 (2013.01); G06N 3/08 (2013.01); G06T 7/10 (2017.01); G06V 40/103 (2022.01); G06T 2207/10004 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A computing system is provided. The computing system includes a processor configured to execute a convolutional neural network that has been trained, the convolutional neural network including a backbone network that is a concatenated pyramid network, a plurality of first head neural networks, and a plurality of second head neural networks. At the backbone network, the processor is configured to receive an input image as input and output feature maps extracted from the input image. The processor is configured to: process the feature maps using each of the first head neural networks to output corresponding keypoint heatmaps; process the feature maps using each of the second head neural networks to output corresponding part affinity field heatmaps; link the keypoints into one or more instances of virtual skeletons using the part affinity fields; and output the instances of the virtual skeletons.


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