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:
Nov. 07, 2023

Filed:

Apr. 13, 2018
Applicant:

Nec Corporation, Tokyo, JP;

Inventors:

Toshinori Hosoi, Tokyo, JP;

Ryo Kawai, Tokyo, JP;

Assignee:

NEC CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 20/00 (2019.01); G06V 10/20 (2022.01); G06V 40/10 (2022.01); G06F 18/28 (2023.01); G06F 18/21 (2023.01); G06V 10/772 (2022.01); G06V 10/776 (2022.01); G06V 20/52 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/217 (2023.01); G06F 18/28 (2023.01); G06N 20/00 (2019.01); G06V 10/20 (2022.01); G06V 10/772 (2022.01); G06V 10/776 (2022.01); G06V 40/10 (2022.01); G06V 20/52 (2022.01);
Abstract

An action recognition apparatusincluding: a generation unitthat generates an addition image by adding a setting image to a target object image; an action recognition and estimation unitthat performs action recognition regarding the target object, outputs action recognition information indicating the result of action recognition, estimates the setting image, and outputs estimation information indicating the result of estimation; an action recognition loss calculation unitthat calculates an action recognition loss by using reference action recognition information generated in advance, and the action recognition information; an estimation loss calculation unitthat calculates an estimation loss by using reference estimation information generated in advance, and the estimation information; and a learning parameter updating unitthat updates learning parameters by using the action recognition loss and the estimation loss.


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