Imitating motion capture clips using a neural network
US11113861B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 13, 2019 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Sep 13, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure presents a process to generate one or more video frames through guiding the movements of a target object in an environment controlled by physics-based constraints. The target object is guided by the movements of a reference object from a motion capture (MOCAP) video clip. As disturbances, environmental factors, or other physics-based constraints interfere with the target object mimicking the reference object. A tracking agent, along with a corresponding neural network, can be used to compensate and modify the movements of the target object. Should the target object diverge significantly from the reference object, such as falling down, a recovery agent, along with a corresponding neural network, can be used to move the target object back into an approximate alignment with the reference object before resuming the tracking process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.