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. 04, 2022

Filed:

Jul. 17, 2020
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Ned M. Smith, Beaverton, OR (US);

Katalin Klara Bartfai-Walcott, El Dorado Hills, CA (US);

Eve M. Schooler, Portola Valley, CA (US);

Shao-Wen Yang, San Jose, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/262 (2022.01); G06V 10/96 (2022.01); G06V 20/00 (2022.01); G06T 7/11 (2017.01); G06K 9/62 (2022.01); H04N 19/176 (2014.01); H04N 19/12 (2014.01); H04N 19/124 (2014.01); H04N 19/513 (2014.01); H04N 19/48 (2014.01); G06V 30/194 (2022.01); H04N 19/167 (2014.01); H04N 19/172 (2014.01); H04N 19/44 (2014.01); G06T 7/20 (2017.01);
U.S. Cl.
CPC ...
G06V 30/274 (2022.01); G06K 9/6228 (2013.01); G06T 7/11 (2017.01); G06V 10/96 (2022.01); G06V 20/00 (2022.01); G06K 9/6282 (2013.01); G06T 7/20 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06V 30/194 (2022.01); H04N 19/12 (2014.11); H04N 19/124 (2014.11); H04N 19/167 (2014.11); H04N 19/172 (2014.11); H04N 19/176 (2014.11); H04N 19/44 (2014.11); H04N 19/48 (2014.11); H04N 19/513 (2014.11);
Abstract

In one embodiment, an apparatus comprises a memory and a processor. The memory stores visual data captured by one or more sensors. The processor detects one or more first objects in the visual data based on a machine learning model and one or more first reference templates. The processor further determines, based on an object ontology, that the visual data is expected to contain a second object, wherein the object ontology indicates that the second object is related to the one or more first objects. The processor further detects the second object in the visual data based on the machine learning model and a second reference template. The processor further determines, based on an inference rule, that the visual data is expected to contain a third object. The processor further detects the third object in the visual data based on the machine learning model and a third reference template.


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