Methods for detecting events in sports using a convolutional neural network
US12182714B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2019 |
| Grant date | Dec 31, 2024 |
| Priority date | — |
| Expiry date | Oct 24, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of identifying a defensive alignment and an offensive alignment in a set-piece is disclosed herein. A computing system receives one or more streams of tracking data. The computing system identifies a set-piece contained in the one or more streams of tracking data. The computing system identifies a defensive alignment of a first team and an offensive alignment of a second team. The computing system extracts, via a convolutional neural network, one or more features corresponding to a type of defensive alignment implemented by the first team by passing the set-piece through the convolutional neural network. The computing system scans the set-piece, via a machine learning algorithm, to identify one or more features indicative of a type of offensive alignment implemented by the second team. The computing system infers the type of defensive alignment implemented by the first team.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.