Action recognition using limited data
US12412394B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2021 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Nov 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/42
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Approaches presented herein enable action recognition. More specifically, a plurality of video segments having one or more action representations is received. One or more sub-action representations in the plurality of video segments are learned. An embedding in a space of a distance metric learning (DML) network for each of the one or more sub-action representations is determined. A set of respective trajectory distances between each of the one or more sub-action representations and one or more class representatives in the space of the DML network based on the embedding is computed, and the one or more action representations based on the set of respective trajectory distances are classified.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.