Action localization in images and videos using relational features
US11163989B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 6, 2019 |
| Grant date | Nov 2, 2021 |
| Priority date | — |
| Expiry date | Aug 6, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing action localization in images and videos. In one aspect, a system comprises a data processing apparatus; a memory in data communication with the data processing apparatus and storing instructions that cause the data processing apparatus to perform image processing and video processing operations comprising: receiving an input comprising an image depicting a person; identifying a plurality of context positions from the image; determining respective feature representations of each of the context positions; providing a feature representation of the person and the feature representations of each of the context positions to a context neural network to obtain relational features, wherein the relational features represent relationships between the person and the context positions; and determining an action performed by the person using the feature representation of the person and the relational features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.