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:
Apr. 02, 2024

Filed:

Sep. 13, 2021
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventor:

Amit Bleiweiss, Yad Binyamin, IL;

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/10 (2022.01); G06F 18/21 (2023.01); H04N 13/239 (2018.01); H04N 13/243 (2018.01); H04N 13/246 (2018.01); H04N 13/296 (2018.01); H04N 23/63 (2023.01);
U.S. Cl.
CPC ...
G06V 40/107 (2022.01); G06F 18/217 (2023.01); H04N 13/239 (2018.05); H04N 13/243 (2018.05); H04N 13/246 (2018.05); H04N 13/296 (2018.05); G06V 2201/10 (2022.01); H04N 23/631 (2023.01);
Abstract

An activity recording system is provided. The activity recording system includes a three-dimensional camera, a sensor arrangement that is fitted to a subject being recorded, and an activity recording device. The activity recording device receives image information from the three-dimensional camera and sensor arrangement information from the sensor arrangement. Both the image information and the sensor arrangement information include location measurements. The sensor arrangement information is generated by location sensors that are positioned at target features of the subject to be tracked. The sensor arrangement information is a key to the image information that specifies where, in any given image, the target features of the subject lie. Activity data having these characteristics may be applied to solve a variety of system development problems. Such activity data can be used to training machine learning components or test computer vision components for a fraction of the cost of using conventional techniques.


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