Semi-supervised grouping and classifying groups from images
US11042756B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 10, 2020 |
| Grant date | Jun 22, 2021 |
| Priority date | — |
| Expiry date | Feb 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A semi-supervised computer-implemented method for group and group activity detection is provided. The method includes detecting, by a hardware processor, entity areas in an image. The method further includes extracting relative position features from pairs of the entity areas. The method also includes extracting pixel features from the pairs of the entity areas. The method additionally includes combining the relative position features and the pixel features to generate edge features. The method further includes identifying, using a display device, groups formed from the entity areas by processing the edge features using an Edge-Labeling Graph Neural Network. The method also includes identifying, using the display device, for each of the groups of the entity areas, a group activity performed by the persons therein based on a result of a voting scheme.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.