Cascaded neural network-based attention detection method, computer device, and computer-readable storage medium
US12299968B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 30, 2019 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Jun 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides an attention detection method based on a cascade neural network, a computer apparatus, and a computer-readable storage medium. The method includes: obtaining video data, recognizing a plurality of image frames, and extracting a face region of the plurality of image frames; recognizing the face region by using a first convolutional neural network to judge whether a first situation of inattention occurs; and recognizing, if it is confirmed that no first situation of inattention occurs, the face region by using a second convolutional neural network to judge whether a second situation of inattention occurs, where computational complexity of the first convolutional neural network is less than computational complexity of the second convolutional neural network. The present invention further provides the computer apparatus for implementing the foregoing method and the computer-readable storage medium.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.