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:
Jun. 10, 2025

Filed:

Jul. 26, 2022
Applicant:

Baidu Usa, Llc, Sunnyvale, CA (US);

Inventors:

Sibo Zhang, Sunnyvale, CA (US);

Liangjun Zhang, Cupertino, CA (US);

Assignee:

Baidu USA LLC, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/52 (2022.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/73 (2017.01); G06V 10/22 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G08B 21/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G06T 7/11 (2017.01); G06T 7/73 (2017.01); G06V 10/225 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G08B 21/02 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30108 (2013.01);
Abstract

Presented herein are embodiments of a vision-based object perception system for activity analysis, safety monitoring, or both. Embodiments of the perception subsystem detect multi-class objects (e.g., construction machines and humans) in real-time while estimating the poses and actions of the detected objects. Safety monitoring embodiments and object activity analysis embodiments may be based on the perception result. To evaluate the performance of embodiments, a dataset was collected including multi-class of objects in different lighting conditions with human annotations. Experimental results show that the proposed action recognition approach outperforms the state-of-the-art approaches on top-1 accuracy by about 5.18%.


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