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. 21, 2023

Filed:

Feb. 12, 2021
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Hannes Mikael Jouhikainen, McLean, VA (US);

Drew Jacobs, McLean, VA (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/44 (2022.01); G06T 7/11 (2017.01); H04N 21/234 (2011.01); H04N 21/81 (2011.01); H04N 21/44 (2011.01); H04N 21/478 (2011.01); G06V 20/20 (2022.01); G06N 20/00 (2019.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06V 10/443 (2022.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06V 20/20 (2022.01); H04N 21/23418 (2013.01); H04N 21/44008 (2013.01); H04N 21/47815 (2013.01); H04N 21/812 (2013.01); G06T 2207/10016 (2013.01);
Abstract

A method for recognizing an object in a video stream may include receiving a video stream from a video source, the video stream comprising a plurality of video frames. The method may also include selecting at least one video frame from the video frames according to a frame selection rate. The method may also include partitioning the selected video frame into a first plurality of image blocks. The method may also include recognizing, out of the first plurality of image blocks, a second plurality of image blocks which comprise an image of an object, the recognition being based on an image recognition parameter determined by a machine-learning algorithm. The method may also include determining that at least one of the second plurality of image blocks corresponds to the object based on a likelihood metric, the likelihood metric being determined by the processor based on at least the frame selection rate. The method may further include displaying, on a display, information identifying the object. A system and non-transitory computer-readable medium may also be provided.


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