Associating events with actors using digital imagery and machine learning
US11482045B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2020 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Feb 24, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N7/181
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Where an event is determined to have occurred at a location within a vicinity of a plurality of actors, imaging data captured using cameras having the location is processed using one or more machine learning systems or techniques operating on the cameras to determine which of the actors is most likely associated with the event. For each relevant pixel of each image captured by a camera, the camera returns a set of vectors extending to pixels of body parts of actors who are most likely to have been involved with an event occurring at the relevant pixel, along with a measure of confidence in the respective vectors. A server receives the vectors from the cameras, determines which of the images depicted the event in a favorable view, based at least in part on the quality of such images, and selects one of the actors as associated with the event accordingly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.