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:
May. 21, 2019

Filed:

Apr. 05, 2017
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Renqiang Min, Princeton, NJ (US);

Yang Gao, Salt Lake City, UT (US);

Eric Cosatto, Red Bank, NJ (US);

Assignee:

NEC Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/04 (2006.01); G08B 13/196 (2006.01); H04N 5/77 (2006.01); H04N 7/18 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00711 (2013.01); G06K 9/4628 (2013.01); G06K 9/6274 (2013.01); G06N 3/04 (2013.01); G08B 13/19695 (2013.01); H04N 5/77 (2013.01); H04N 7/183 (2013.01); G06K 2009/00738 (2013.01); G08B 13/19613 (2013.01);
Abstract

A method, a computer program product, and a system are provided for video based action recognition. The system includes a processor. One or more frames from one or more video sequences are received. A feature vector for each patch of the one or more frames is generated using a deep convolutional neural network. An attention factor for the feature vectors is generated based on a within-frame attention and a between-frame attention. A target action is identified using a multi-layer deep long short-term memory process applied to the attention factor, said target action representing at least one of the one or more video sequences. An operation of a processor-based machine is controlled to change a state of the processor-based machine, responsive to the at least one of the one or more video sequences including the identified target action.


Find Patent Forward Citations

Min, Renqiang. (2019). Deep 3d attention long short-term memory for video-based action recognition (U.S. Patent No. 10296793). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10296793

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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