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:
Nov. 23, 2021

Filed:

Feb. 28, 2020
Applicant:

Stats Llc, Chicago, IL (US);

Inventors:

Long Sha, Chicago, IL (US);

Sujoy Ganguly, Chicago, IL (US);

Xinyu Wei, Melbourne, AU;

Patrick Joseph Lucey, Chicago, IL (US);

Aditya Cherukumudi, London, GB;

Assignee:

STATS LLC, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06T 7/73 (2017.01); G06T 7/20 (2017.01); H04N 21/44 (2011.01); G06T 7/80 (2017.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6215 (2013.01); G06K 9/00335 (2013.01); G06K 9/00724 (2013.01); G06K 9/00744 (2013.01); G06K 9/00758 (2013.01); G06K 9/00765 (2013.01); G06K 9/622 (2013.01); G06K 9/627 (2013.01); G06K 9/6247 (2013.01); G06K 9/6256 (2013.01); G06N 3/08 (2013.01); G06T 7/20 (2013.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06T 7/80 (2017.01); G06T 7/97 (2017.01); H04N 21/44008 (2013.01); G06K 2009/00738 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30221 (2013.01); G06T 2207/30244 (2013.01);
Abstract

A system and method of generating a player tracking prediction are described herein. A computing system retrieves a broadcast video feed for a sporting event. The computing system segments the broadcast video feed into a unified view. The computing system generates a plurality of data sets based on the plurality of trackable frames. The computing system calibrates a camera associated with each trackable frame based on the body pose information. The computing system generates a plurality of sets of short tracklets based on the plurality of trackable frames and the body pose information. The computing system connects each set of short tracklets by generating a motion field vector for each player in the plurality of trackable frames. The computing system predicts a future motion of a player based on the player's motion field vector using a neural network.


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