Video anomaly detection method based on human-machine cooperation
US11983919B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2022 |
| Grant date | May 14, 2024 |
| Priority date | — |
| Expiry date | Feb 9, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02T10/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure relates to a video anomaly detection method based on human-machine cooperation, in which video frames and traditional descriptors of optical stream of an image are utilized as an input for auto-encoder neural network coding, and converted into a representation content of a hidden layer, and then the representation content of the hidden layer is decoded, reconstructed and output. The auto-encoder network is trained with normal samples. In a test stage, if an input is a normal sample, a final reconstructed error keeps high similarity with an input sample; on the contrary, if the input is an abnormal sample, the final reconstructed error deviates greatly from the input sample.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.