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.

Patent No.:

US 12755577 B1

Date of Patent:

Oct. 06, 2026

Filed:

Nov. 13, 2023

Multi-view human action recognition method based on hypergraph learning

Applicant:

Beijing University of Technology, Beijing, CN;

Inventors:

Nan MA, Beijing, CN;

Ye Liang, Beijing, CN;

Cong Guo, Beijing, CN;

Cheng Wang, Beijing, CN;

Genbao Xu, Beijing, CN;

Assignee:

Beijing University Of Technology, Beijing, CN;

Attorney:

Bayramoglu Law Offices LLC

Primary Examiner:

Carol W Chan

Int. Cl.

CPC ...

G06V 40/20 (2022.01); G06V 10/77 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01);

U.S. Cl.

CPC ...

G06V 40/20 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 20/46 (2022.01);

Abstract

A multi-view human action recognition method based on hypergraph learning, comprising acquiring video data from P views, and further comprising the following steps: pre-processing the video data; constructing spatial hypergraphs based on joint information; constructing temporal hypergraphs based on the joint information; performing feature learning of the spatial hypergraphs and the temporal hypergraphs using hypergraph neural networks; and extracting higher order information represented by the hypergraphs, and performing action recognition of human actions. The present invention constructs spatial hypergraphs using human joints in different views at the same moment to capture spatial dependency among multiple human joints; constructs temporal hypergraphs using human joints in different frames of the same view to capture temporal correlations among features of a particular joint in different views, so as to carry out learning based on features constructed by the spatial hypergraphs and the temporal hypergraphs using spatial-temporal hypergraph neural networks.

Find Patent Forward Citations

MA, Nan. (2026). Multi-view human action recognition method based on hypergraph learning (U.S. Patent No. 12755577). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12755577

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