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:
Oct. 17, 2023

Filed:

May. 01, 2020
Applicant:

Veritone, Inc., Costa Mesa, CA (US);

Inventors:

Chad Steelberg, Costa Mesa, CA (US);

Lauren Blackburn, Costa, CA (US);

Assignee:

VERITONE, INC., Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/246 (2017.01); G06T 7/00 (2017.01); G06N 3/02 (2006.01); G06V 20/40 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06T 7/248 (2017.01); G06N 3/02 (2013.01); G06T 7/0012 (2013.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); G06V 40/161 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01);
Abstract

Disclosed are systems and methods to detect and track an object across frames of a video. One of the disclosed methods includes: detecting a first group of one or more objects, using a first neural network, in each frame of the video, wherein each detected head of the first group comprises a leading and a trailing edge; grouping the leading and trailing edges of the one or more objects into groups of leading edges and groups of trailing edges based at least on coordinates of the leading and trailing edges; generating a list of no-edge-detect frames by identifying frames of the video missing a group of leading edges or a group of trailing edges; analyzing the no-edge-detect frames in the list of no-edge-detect frames, using an optical image classification engine, to detect a second group of one or more objects in the no-edge-detect frames; and merging the first and second groups of one or more objects to form a merged list of detected objects in the video.


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