Training a machine learning algorithm to perform motion estimation of objects in a set of frames
US12347119B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 28, 2024 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Mar 28, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of generating a training dataset suitable for training machine learning algorithms to estimate the motion of objects, and for training a machine learning algorithm to perform motion estimation. A plurality of pairs of synthetic images are generated from obtained objects and backgrounds, each pair have a first frame and a second frame. The first frame includes a selection of objects in first positions and first orientations superimposed on a selected background, and the second frame includes the selection of objects in second positions and second orientations superimposed on the selected background. Also provided are processing systems configured to carry out these methods.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.