Facial detection and recognition for pedestrian traffic
US10839200B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 16, 2018 |
| Grant date | Nov 17, 2020 |
| Priority date | — |
| Expiry date | Jan 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for facial analytics includes capturing a series of images of individuals from a camera into a circular buffer and selecting a plurality of images from the buffer for analysis in response to a trigger event, wherein the plurality of images are chronologically proximate before and/or after the trigger event in time. The method includes analyzing the plurality of images to determine image quality and selecting one of the plurality of images based on image quality to form a cropped facial image most likely to result in positive facial recognition matching. Methods of signaling to control the pedestrian traffic flow can maximize the individuals' facial alignment to the capturing camera's field of view. Non-relevant facial images associated with individuals outside a given region of interest can be discarded. Facial recognition is run on the resultant cropped facial image. Output can be displayed with information from the facial recognition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.