Real-time single-view action recognition based on key pose analysis for sports videos
US9600717B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 25, 2016 |
| Grant date | Mar 21, 2017 |
| Priority date | — |
| Expiry date | Feb 25, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system is provided for real-time single-view action recognition for sports videos based on key pose analysis of the sports videos. A training module of the system trains feature models for a sports action distinctively associated with each sports type using a large corpus of training videos. The trained feature models include a player detector for detecting locations of a player in video frames of a training video, a set of key pose identifiers for identifying distinctive poses of a sports action associated with a type of sports, and a meta classifier for determining a likelihood that the sports action has happened in a sports video based on the key poses analysis. Responsive to an input sports video being received for real-time action recognition, a set of trained feature models associated with the sports type of the input video are selected and applied to the input video.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.