Human pose estimation
US11036975B2 · kind B2 · utility
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2References
20Claims
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Key dates
| Filing date | Dec 14, 2018 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | Feb 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein is a human pose prediction system and method. An image comprising at least a portion of a human body is received. A trained neural network is used to predict one or more human features (e.g., joints/aspects of a human body) within the received image, and, to predict one or more human poses in accordance with the predicted one or more human features. The trained neural network can be an end-to-end trained, single stage deep neural network. An action is performed based on the predicted one or more human poses. For example, the human pose(s) can be displayed as an overlay with received image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.