Person search system based on multiple deep learning models
US11250243B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 4, 2020 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | May 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method executed by at least one processor for person identification is presented. The method includes employing one or more cameras to receive a video stream including a plurality of frames to extract features therefrom, detecting, via an object detection model, objects within the plurality of frames, detecting, via a key point detection model, persons within the plurality of frames, detecting, via a color detection model, color of clothing worn by the persons, detecting, via a gender and age detection model, an age and a gender of the persons, establishing a spatial connection between the objects and the persons, storing the features in a feature database, each feature associated with a confidence value, and normalizing, via a ranking component, the confidence values of each of the features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.