Action detection method based on human skeleton feature and storage medium
US11948400B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 30, 2023 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Jun 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An action detection method based on a human skeleton feature and a storage medium belong to the field of computer vision, and the method includes: for each person, extracting a series of body keypoints in every frame of the video as the human skeleton feature; calculating a body structure center point and approximating rigid motion area by using the human skeleton feature as a calculated value from the skeleton feature state, and predicting an estimated value in the next frame; performing target matching according to the estimated and calculated value, correlating the human skeleton feature belonging to the same target to obtain a skeleton feature sequence, and then correlating features of each keypoint in the temporal domain to obtain a spatial-temporal domain skeleton feature; inputting the skeleton feature into an action detection model to obtain an action category. In the disclosure, the accuracy of action detection is improved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.