Systems and methods for classifying activities captured within images
US10185895B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2017 |
| Grant date | Jan 22, 2019 |
| Priority date | — |
| Expiry date | Jun 3, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image including a visual capture of a scene may be accessed. The image may be processed through a convolutional neural network. The convolutional neural network may generate a set of two-dimensional feature maps based on the image. The set of two-dimensional feature maps may be processed through a contextual long short-term memory unit. The contextual long short-term memory unit may generate a set of two-dimensional outputs based on the set of two-dimensional feature maps. A set of attention-masks for the image may be generated based on the set of two-dimensional outputs and the set of two-dimensional feature maps. The set of attention-masks may define dimensional portions of the image. The scene may be classified based on the two-dimensional outputs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.