4D convolutional neural networks for video recognition
US10713493B1 · kind B1 · utility
5Cited by
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20Claims
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Key dates
| Filing date | Feb 6, 2020 |
| Grant date | Jul 14, 2020 |
| Priority date | — |
| Expiry date | Feb 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/44
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure includes technologies for video recognition in general. The disclosed system can automatically detect various types of actions in a video, including reportable actions that cause shrinkage in a practical application for loss prevention in the retail industry. The temporal evolution of spatio-temporal features in the video are used for action recognition. Such features may be learned via a 4D convolutional operation, which is adapted to model low-level features based on a residual 4D block. Further, appropriate responses may be invoked if a reportable action is recognized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.