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. 26, 2024

Filed:

May. 20, 2021
Applicant:

Retrocausal, Inc., Sammamish, WA (US);

Inventors:

Quoc-Huy Tran, Redmond, WA (US);

Muhammad Zeeshan Zia, Sammamish, WA (US);

Andrey Konin, Redmond, WA (US);

Sanjay Haresh, Karachi, PK;

Sateesh Kumar, Karachi, PK;

Assignee:

Retrocausal, Inc., , WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 3/00 (2006.01); G06T 7/194 (2017.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); H04N 5/272 (2006.01); H04N 7/01 (2006.01); H04N 13/111 (2018.01);
U.S. Cl.
CPC ...
G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 3/00 (2013.01); G06T 7/194 (2017.01); G06V 20/41 (2022.01); G06V 40/20 (2022.01); H04N 5/272 (2013.01); H04N 7/0127 (2013.01); H04N 7/0135 (2013.01); H04N 13/111 (2018.05); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A system and method for learning human activities from video demonstrations using video augmentation is disclosed. The method includes receiving original videos from one or more data sources. The method includes processing the received original videos using one or more video augmentation techniques to generate a set of augmented videos. Further, the method includes generating a set of training videos by combining the received original videos with the generated set of augmented videos. Also, the method includes generating a deep learning model for the received original videos based on the generated set of training videos. Further, the method includes learning the one or more human activities performed in the received original videos by deploying the generated deep learning model. The method includes outputting the learnt one or more human activities performed in the original videos.


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