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:
Jul. 19, 2022

Filed:

Feb. 11, 2021
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Mayuresh M. Varerkar, Folsom, CA (US);

Barnan Das, San Jose, CA (US);

Narayan Biswal, Folsom, CA (US);

Stanley J. Baran, Elk Grove, CA (US);

Gokcen Cilingir, Sunnyvale, CA (US);

Nilesh V. Shah, Folsom, CA (US);

Archie Sharma, Folsom, CA (US);

Sherine Abdelhak, Beaverton, CA (US);

Sachin Godse, Portland, OR (US);

Farshad Akhbari, Chandler, AZ (US);

Narayan Srinivasa, Portland, OR (US);

Altug Koker, El Dorado Hills, CA (US);

Nadathur Rajagopalan Satish, Santa Clara, CA (US);

Dukhwan Kim, San Jose, CA (US);

Feng Chen, Shanghai, CN;

Abhishek R. Appu, El Dorado Hills, CA (US);

Joydeep Ray, Folsom, CA (US);

Ping T. Tang, Edison, NJ (US);

Michael S. Strickland, Sunnyvale, CA (US);

Xiaoming Chen, Shanghai, CN;

Anbang Yao, Anbang, CN;

Tatiana Shpeisman, Menlo Park, CA (US);

Vasanth Ranganathan, El Dorado Hills, CA (US);

Sanjeev Jahagirdar, Folsom, CA (US);

Assignee:

Intel Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 1/20 (2006.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06N 3/063 (2006.01); G06V 40/10 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/0481 (2013.01); G06N 3/063 (2013.01); G06N 3/084 (2013.01); G06T 1/20 (2013.01); G06V 20/40 (2022.01); G06V 40/10 (2022.01); G06V 20/44 (2022.01);
Abstract

A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.


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