Detector-tracker architecture
US10825188B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 8, 2019 |
| Grant date | Nov 3, 2020 |
| Priority date | — |
| Expiry date | May 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/62
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine-learning (ML) architecture may comprise a first ML model and/or an optical flow model that receive, as input, a first image and a second image. The first ML model may output a first feature map corresponding to the first image and a second feature map corresponding to the second image. The optical flow model may output an estimated optical flow. A deformation component may modify the second feature map, as a deformed feature map, based at least in part on the estimated optical flow. The deformed feature map and the first feature map may be concatenated together as a concatenated feature map, which may be provided to a second ML model. The second ML model may be trained to output an output ROI and/or a track in association with an object represented in the first image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.