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:
Apr. 26, 2022

Filed:

Feb. 06, 2018
Applicant:

Nec Corporation, Tokyo, JP;

Inventors:

Kihyuk Sohn, Fremont, CA (US);

Xiang Yu, Mountain View, CA (US);

Manmohan Chandraker, Santa Clara, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/66 (2006.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G08B 13/196 (2006.01); G06T 7/70 (2017.01); G06T 9/00 (2006.01); G06K 9/46 (2006.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
G06K 9/66 (2013.01); G06K 9/00268 (2013.01); G06K 9/00288 (2013.01); G06K 9/00718 (2013.01); G06K 9/00744 (2013.01); G06K 9/00771 (2013.01); G06K 9/4628 (2013.01); G06K 9/6201 (2013.01); G06K 9/6217 (2013.01); G06K 9/6262 (2013.01); G06K 9/6274 (2013.01); G06N 3/02 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/088 (2013.01); G06N 20/00 (2019.01); G06T 7/70 (2017.01); G06T 9/002 (2013.01); G08B 13/19613 (2013.01); G06K 2009/00738 (2013.01); G06T 2207/20081 (2013.01); G08B 13/196 (2013.01);
Abstract

An action recognition system is provided that includes a device configured to capture a video sequence formed from a set of unlabeled testing video frames. The system further includes a processor configured to pre-train a recognition engine formed from a reference set of CNNs on a still image domain that includes labeled training still image frames. The processor adapts the recognition engine to a video domain to form an adapted engine, by applying non-reference CNNs to domains that include the still image and video domains and a degraded image domain that includes labeled synthetically degraded versions of the frames in the still image domain. The video domain includes random unlabeled training video frames. The processor recognizes, using the adapted engine, an action performed by at least one object in the sequence, and controls a device to perform a response action in response to an action type of the action.


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