Real-time body pose estimation system and method in unconstrained video
US12299930B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 9, 2022 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Aug 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one or more implementations, body features of a subject can be tracked and a pose estimation produced using an unconstrained video sequence. The video sequence constitutes a physical record of the body features of the subject. A set of 2D coordinates corresponding to the body features of the subject can be received from a first neural network and 2D Keypoints are detected and transmitted to a second neural network. The second neural network can return corresponding depth estimation values, which can be processed to generate a set of 3D coordinates that correspond to the body features of the subject in camera space. Furthermore, one or more non-linear optimizations can be applied to fit a predetermined skeleton to the generate 3D Keypoints, and produce the pose estimation corresponding to the body features of the subject.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.