Generating body pose information
US11062476B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 23, 2019 |
| Grant date | Jul 13, 2021 |
| Priority date | — |
| Expiry date | Jan 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes obtaining a set of images that correspond to a person. The method includes generating a body pose model of the person defined by a branched plurality of neural network systems. Each neural network system models a respective portion of the person between a first body-joint and a second body-joint as dependent on an adjacent portion of the person sharing the first body-joint. Providing the set of images of the respective portion to a first one and a second one of the neural network systems. The first one and second one correspond to adjacent body portions. The method includes determining, jointly by at least the first one and second one of the plurality of neural network systems pose information for the first respective body-joint and the second respective body-joint.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.