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. 26, 2019

Filed:

Aug. 23, 2018
Applicant:

Nex Team, Inc., San Jose, CA (US);

Inventors:

Keng Fai Lee, Cupertino, CA (US);

Tin Yin Lam, Fremont, CA (US);

Wing Hung Chan, Hong Kong, HK;

Qi Zhang, Hong Kong, HK;

On Loy Sung, Hong Kong, HK;

Man Hon Chan, Hong Kong, HK;

Assignee:

NEX Team Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06N 3/08 (2006.01); G06T 7/11 (2017.01); G06F 15/18 (2006.01); G06K 9/46 (2006.01); G06N 20/00 (2019.01); G06K 9/32 (2006.01); G06K 9/62 (2006.01); G06T 7/20 (2017.01); G06Q 50/00 (2012.01); G11B 27/00 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00724 (2013.01); G06K 9/00342 (2013.01); G06K 9/3233 (2013.01); G06K 9/46 (2013.01); G06K 9/4628 (2013.01); G06K 9/627 (2013.01); G06N 20/00 (2019.01); G06Q 50/00 (2013.01); G06T 7/11 (2017.01); G06T 7/20 (2013.01); G11B 27/00 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06T 2207/30224 (2013.01); G06T 2207/30241 (2013.01);
Abstract

Methods and systems for ball shot attempt detection and game analytics generation are disclosed. The methods and systems perform steps to receive an input video of a ball gameplay, wherein the input video was captured using a stationary camera, and wherein frames of the input video comprises a goal; identify a Region of Interest (ROI) surrounding the goal by performing a first computer vision algorithm on the input video; detect a ball within the ROI during a shot attempt and determining a trajectory of the ball by performing a second computer vision algorithm on the input video; and identify a player relevant to the shot attempt based on the trajectory of the ball. In some embodiments, the computer vision algorithms comprise a convolution neural network (CNN). The present invention uses computer vision techniques to enable a resource-limited mobile device such as a smartphone to efficiently execute the new process.


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