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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.

Patent No.:

US 12299900 B1

PDFFull Text
Date of Patent:
May. 13, 2025

Filed:

Jan. 29, 2024

System and method for calibrating moving cameras capturing broadcast video

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:

Bookoff McAndrews, PLLC

Primary Examiner:

Fernando Alcon

Int. Cl.
CPC ...
G06T 7/20 (2017.01); G06F 18/2135 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06T 7/80 (2017.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01); H04N 21/44 (2011.01);
U.S. Cl.
CPC ...
G06T 7/20 (2013.01); G06F 18/2135 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06N 3/08 (2013.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06T 7/80 (2017.01); G06T 7/97 (2017.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/42 (2022.01); G06V 20/46 (2022.01); G06V 20/48 (2022.01); G06V 20/49 (2022.01); G06V 40/20 (2022.01); H04N 21/44008 (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); G06V 20/44 (2022.01);
Abstract

A system and method of calibrating moving cameras capturing a sporting event is disclosed herein. A computing system retrieves a broadcast video feed for a sporting event. The broadcast video feed includes a plurality of video frames. The computing system labels, via a neural network, components of a playing surface captured in each video frame. The computing system matches a subset of labeled video frames to a set of templates with various camera perspectives. The computing system fits a playing surface model to the set of labeled video frames that were matched to the set of templates. The computing system identifies camera motion in each video frame using an optical flow model. The computing system generates a homography matrix for each video frame based on the fitted playing surface model and camera motion. The computing system calibrates each camera based on the homography matrix generated for each video frame.

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