IP Library › Granted Patent US 12,731,399
Granted Patent B2
US 12,731,399 · App. 19/169,625 · Granted Sep 8, 2026

Systems and methods for providing video presentation and video analytics for live sporting events

Inventor: Gerard J. Hall (Durham, NC)
Assignee: SportsMEDIA Technology Corporation
G06V20/20G06T7/20G06T17/00G06V20/42H04N21/2187H04N21/23418H04N21/8146H04N23/90G06T2207/30241G06T2210/21
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Quick Facts
Patent No.
US 12,731,399
App. No.
19/169,625
Filed
Apr 3, 2025
Granted
Sep 8, 2026
Kind
B2
Art Unit
2676
USPC
348/157
Abstract

Systems and methods for video presentation and analytics for live sporting events are disclosed. At least two cameras are used for tracking objects during a live sporting event and generate video feeds to a server processor. The server processor is operable to match the video feeds and create a 3D model of the world based on the video feeds from the at least two cameras. 2D graphics are created from different perspectives based on the 3D model. Statistical data and analytical data related to object movement are produced and displayed on the 2D graphics. The present invention also provides a standard file format for object movement in space over a timeline across multiple sports.

Claims (35)

1 . A system for video presentation and analytics of a sporting event, comprising:

at least one server including a processor and a memory in communication with at least two cameras;

wherein the at least one server is operable to receive video data from the at least two cameras, wherein the video data includes video of at least one object in the sporting event;

wherein the at least one server is operable to render a three-dimensional (3D) world model comprising the at least one object in the sporting event based on the video data;

wherein the at least one server is operable to generate at least one graphic illustrating the at least one object based on the 3D world model;

wherein the at least one server is operable to predict a collision between the at least one object and at least one other object; and

wherein the at least one server is operable to construct a path of the at least one other object on the at least one graphic as a result of the collision.

2 . The system of claim 1 , wherein the at least one server is operable to provide analytics, projections, and/or predictions at least based on the video data.

3 . The system of claim 2 , wherein the analytics, projections, and/or predictions are further based on environmental data, wherein the environmental data comprises air temperature and/or humidity level.

4 . The system of claim 2 , wherein the analytics, projections, and/or predictions are further based on biometric data, wherein the biometric data comprises weight, height, hydration, heart rate, fatigue, blood pressure, body temperature, blood sugar level, blood composition, and/or alertness.

5 . The system of claim 1 , wherein the at least one server is further operable to project an end position of the at least one object.

6 . A method for video presentation and analytics of a sporting event, comprising:

at least one server including a processor and a memory receiving video data including at least one object from at least two cameras;

the at least one server rendering a three-dimensional (3D) model including the at least one object based on the video data;

the at least one server generating at least one graphic illustrating the at least one object based on the 3D model;

the at least one server predicting a collision between the at least one object and at least one other object; and

the at least one server constructing a path of the at least one other object on the at least one graphic as a result of the collision.

7 . The method of claim 6 , wherein the analytics, projections, and/or predictions are further based on biometric data, wherein the biometric data comprises weight, height, hydration, heart rate, fatigue, blood pressure, body temperature, blood sugar level, blood composition, and/or alertness.

8 . The method of claim 6 , wherein the sporting event is a live sporting event.

9 . The method of claim 6 , wherein the video data is two-dimensional (2D) video data.

10 . The method of claim 6 , wherein an origin of the 3D model is a center of a venue of the sporting event.

11 . The method of claim 6 , further comprising the at least one display device displaying statistical data on the at least one graphic, wherein the statistical data comprises a velocity of the at least one object, a rotation of the at least one object, and/or a direction of the at least one object.

12 . An apparatus for video presentation and analytics of a sporting event, comprising:

at least one server including a processor and a memory operable to receive video data from the at least two cameras, wherein the video data includes video of at least one object in the sporting event;

wherein the at least one server is operable to render a model comprising the at least one object in the sporting event based on the video data;

wherein the at least one server is operable to predict a collision between the at least one object and at least one other object; and

wherein the at least one server is operable to display a path of the at least one other object on at least one graphic as a result of the collision.

13 . The apparatus of claim 12 , wherein the video data is two-dimensional (2D) video data.

14 . The apparatus of claim 12 , wherein the at least one server comprises an intelligence engine including rules sets for the sporting event, and wherein the intelligence engine is configured with an artificial intelligence algorithm.

15 . The apparatus of claim 12 , wherein the at least one server is operable to provide analytics, projections, and/or predictions at least based on the video data.

16 . The apparatus of claim 15 , wherein the analytics, projections, and/or predictions are further based on environmental data, wherein the environmental data comprises air temperature and/or humidity level.

17 . The apparatus of claim 12 , wherein the model includes a three-dimensional (3D) model.

18 . The apparatus of claim 12 , wherein the at least one server is further operable to project a path of the at least one object.

19 . The apparatus of claim 12 , wherein an origin of the model is a center of a venue of the sporting event.

20 . The apparatus of claim 12 , wherein the at least one server is further operable to project an end position of the at least one object.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 11, 2025
From: HALL, GERARD J.
To: SPORTSMEDIA TECHNOLOGY CORPORATION
Reel/Frame 070814/0642 →
Continuity (6)
Continuation 18618536 · Mar 27, 2024
Continuation 18124835 · Mar 22, 2023
Continuation 17089314 · Nov 4, 2020
Continuation 16262322 · Jan 30, 2019
Provisional Application 62624534 · Jan 31, 2018
Related Publication 20250232581A1 · Jul 17, 2025
References Cited (109)
US 5917553A · Honey et al. · 1999 [cited by applicant]
US 6133946A · Cavallaro et al. · 2000 [cited by applicant]
US 6141060A · Honey et al. · 2000 [cited by applicant]
US 6266100B1 · Gloudemans et al. · 2001 [cited by applicant]
US 6292130B1 · Cavallaro et al. · 2001 [cited by applicant]
US 6304665B1 · Cavallaro et al. · 2001 [cited by applicant]
US 6456232B1 · Milnes et al. · 2002 [cited by applicant]
US 7075556B1 · Meier et al. · 2006 [cited by applicant]
US 7138963B2 · Hobgood et al. · 2006 [cited by applicant]
US 7154540B2 · Honey et al. · 2006 [cited by applicant]
US 7341530B2 · Cavallaro et al. · 2008 [cited by applicant]
US 7492363B2 · Meier et al. · 2009 [cited by applicant]
US 7552031B2 · Vock et al. · 2009 [cited by applicant]
US 7627451B2 · Vock et al. · 2009 [cited by applicant]
US 7750901B2 · Meier et al. · 2010 [cited by applicant]
US 7928976B2 · Meier et al. · 2011 [cited by applicant]
US 8077981B2 · Elangovan et al. · 2011 [cited by applicant]
US 8079247B2 · Russell et al. · 2011 [cited by applicant]
US 8253799B2 · Elangovan et al. · 2012 [cited by applicant]
US 8279286B2 · Wagg et al. · 2012 [cited by applicant]
US 8289185B2 · Alonso · 2012 [cited by applicant]
US 8315432B2 · Lefevre et al. · 2012 [cited by applicant]
US 8335345B2 · White et al. · 2012 [cited by applicant]
US 8400302B2 · Russell et al. · 2013 [cited by applicant]
US 8456526B2 · Gloudemans et al. · 2013 [cited by applicant]
US 8466794B2 · Mack et al. · 2013 [cited by applicant]
US 8477046B2 · Alonso · 2013 [cited by applicant]
US 8482612B2 · Tamir et al. · 2013 [cited by applicant]
US 8558883B2 · Cavallaro et al. · 2013 [cited by applicant]
US 8705799B2 · White et al. · 2014 [cited by applicant]
US 8786415B2 · Cavallaro et al. · 2014 [cited by applicant]
US 8860570B2 · Thomas et al. · 2014 [cited by applicant]
US 8884741B2 · Cavallaro et al. · 2014 [cited by applicant]
US 8989880B2 · Wohl et al. · 2015 [cited by applicant]
US 9014830B2 · Wohl · 2015 [cited by applicant]
US 9035776B2 · Robert · 2015 [cited by applicant]
US 9044198B2 · Benzel et al. · 2015 [cited by applicant]
US 9058670B2 · Birenboim et al. · 2015 [cited by applicant]
US 9076041B2 · Bentley et al. · 2015 [cited by applicant]
US 9094615B2 · Aman et al. · 2015 [cited by applicant]
US 9180357B2 · Richley · 2015 [cited by applicant]
US 9220444B2 · Russell · 2015 [cited by applicant]
US 9235765B2 · Bentley et al. · 2016 [cited by applicant]
US 9247212B2 · Bose et al. · 2016 [cited by applicant]
US 9406131B2 · Würmlin et al. · 2016 [cited by applicant]
US 9625321B2 · Cavallaro et al. · 2017 [cited by applicant]
US 9842434B2 · Jiang et al. · 2017 [cited by applicant]
US 9846805B2 · Painter · 2017 [cited by applicant]
US 9878689B1 · Jimenez · 2018 [cited by examiner]
US 10137856B1 · Jimenez · 2018 [cited by examiner]
US 10412440B2 · Paul et al. · 2019 [cited by applicant]
US 11083954B2 · Sexton et al. · 2021 [cited by applicant]
US 11776206B1 · Gupta · 2023 [cited by examiner]
US 20030182620A1 · Errico et al. · 2003 [cited by applicant]
US 20070121425A1 · Eble et al. · 2007 [cited by applicant]
US 20080192116A1 · Tamir et al. · 2008 [cited by applicant]
US 20090128549A1 · Gloudemans et al. · 2009 [cited by applicant]
US 20090128577A1 · Gloudemans et al. · 2009 [cited by applicant]
US 20090210395A1 · Sedam · 2009 [cited by applicant]
US 20100026809A1 · Curry · 2010 [cited by applicant]
US 20110090344A1 · Gefen et al. · 2011 [cited by applicant]
US 20110169959A1 · DeAngelis et al. · 2011 [cited by applicant]
US 20110238853A1 · Paul et al. · 2011 [cited by applicant]
US 20110304497A1 · Molyneux et al. · 2011 [cited by applicant]
US 20120139731A1 · Razoumov et al. · 2012 [cited by applicant]
US 20120154593A1 · Anderson · 2012 [cited by applicant]
US 20120326873A1 · Utter · 2012 [cited by applicant]
US 20140219550A1 · Popa et al. · 2014 [cited by applicant]
US 20140300733A1 · Mitchell · 2014 [cited by applicant]
US 20140310243A1 · McGee et al. · 2014 [cited by applicant]
US 20150040685A1 · Nicholson et al. · 2015 [cited by applicant]
US 20150097700A1 · Holthouse · 2015 [cited by applicant]
US 20150131845A1 · Forouhar et al. · 2015 [cited by applicant]
US 20150148129A1 · Austerlade et al. · 2015 [cited by applicant]
US 20150149837A1 · Alonso et al. · 2015 [cited by applicant]
US 20150206409A1 · Visvanathan et al. · 2015 [cited by applicant]
US 20150208044A1 · Jacobson et al. · 2015 [cited by applicant]
US 20150248917A1 · Chang et al. · 2015 [cited by applicant]
US 20150306486A1 · Logan et al. · 2015 [cited by applicant]
US 20150317801A1 · Bentley et al. · 2015 [cited by applicant]
US 20150356332A1 · Turner et al. · 2015 [cited by applicant]
US 20150375083A1 · Stelfox et al. · 2015 [cited by applicant]
US 20150381947A1 · Renkis · 2015 [cited by applicant]
US 20160232685A1 · Hefetz et al. · 2016 [cited by applicant]
US 20160314818A1 · Kirk et al. · 2016 [cited by applicant]
US 20160320941A1 · McQuistan et al. · 2016 [cited by applicant]
US 20160335505A1 · Renkis · 2016 [cited by applicant]
US 20170069147A1 · Palmer et al. · 2017 [cited by applicant]
US 20170090554A1 · Pececnik · 2017 [cited by applicant]
US 20170098331A1 · Jiang et al. · 2017 [cited by applicant]
US 20170140629A1 · Briggs et al. · 2017 [cited by applicant]
US 20170172222A1 · Morgenthau et al. · 2017 [cited by applicant]
US 20170187704A1 · Agnew et al. · 2017 [cited by applicant]
US 20170201779A1 · Publicover et al. · 2017 [cited by applicant]
US 20170219707A1 · Cavallaro et al. · 2017 [cited by applicant]
US 20170224214A1 · Saigh et al. · 2017 [cited by applicant]
US 20170238055A1 · Chang et al. · 2017 [cited by applicant]
US 20170259115A1 · Hall · 2017 [cited by applicant]
US 20180077345A1 · Yee · 2018 [cited by applicant]
US 20180129865A1 · Zia et al. · 2018 [cited by applicant]
US 20190030397A1 · Hall · 2019 [cited by applicant]
US 20190236364A1 · Hall · 2019 [cited by applicant]
US 20200070002A1 · Hall · 2020 [cited by applicant]
US 20210073546A1 · Hall · 2021 [cited by applicant]
US 20210248027A1 · Alonso et al. · 2021 [cited by applicant]
US 20210260442A1 · Hall · 2021 [cited by applicant]
US 20230222791A1 · Hall · 2023 [cited by applicant]
US 20240273895A1 · Hall · 2024 [cited by applicant]
WO 2016081778A1 · 2016 [cited by applicant]