Motion recognition via a two-dimensional symbol having multiple ideograms contained therein
US10311294B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2019 |
| Grant date | Jun 4, 2019 |
| Priority date | — |
| Expiry date | Mar 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30232
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods of recognizing motions of an object in a video clip or an image sequence are disclosed. A plurality of frames are selected out of a video clip or an image sequence of interest. A text category is associated with each frame by applying an image classification technique with a trained deep-learning model for a set of categories containing various poses of an object within each frame. A “super-character” is formed by embedding respective text categories of the frames as corresponding ideograms in a 2-D symbol having multiple ideograms contained therein. Particular motion of the object is recognized by obtaining the meaning of the “super-character” with image classification of the 2-D symbol via a trained convolutional neural networks model for various motions of the object derived from specific sequential combinations of text categories. Ideograms may contain imagery data instead of text categories, e.g., detailed images or reduced-size images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.