Quantized transition change detection for activity recognition
US10902247B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 1, 2019 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Oct 10, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for recognizing human activity from a video stream includes a classifier for classifying an image frame of the video steam in one or more classes and generating a class probability vector for the image frame based on the classification. The system further includes a data filtering and binarization module for filtering and binarizing each probability value of the class probability vector based on a pre-defined probability threshold value. The system furthermore includes a compressed word composition module for determining one or more transitions of one or more classes in consecutive image frames of the video stream and generating a sequence of compressed words based on the determined one or more transitions. The system furthermore includes a sequence dependent classifier for extracting one or more user actions by analyzing the sequence of compressed words to and recognizing human activity therefrom.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.