Gradient-embedded video anomaly detection
US11210775B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 18, 2020 |
| Grant date | Dec 28, 2021 |
| Priority date | — |
| Expiry date | Sep 18, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20221
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A sequence of frames of a video can be received. For a given frame in the sequence of frames, a gradient-embedded frame is generated corresponding to the given frame. The gradient-embedded frame incorporates motion information. The motion information can be represented as disturbance in the gradient-embedded frame. A plurality of such gradient-embedded frames can be generated corresponding to a plurality of the sequence of frames. Based on the plurality of gradient-embedded frames, a neural network such as a generative adversarial network is trained to learn to suppress the disturbance in the gradient-embedded frame and to generate a substitute frame. In inference stage, anomaly in a target video frame can be detected by comparing it to a corresponding substitute frame generated by the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.