Dynamic learning for object tracking
US9117100B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 11, 2013 |
| Grant date | Aug 25, 2015 |
| Priority date | — |
| Expiry date | Nov 11, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques described herein relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for tracking an object from a plurality of objects. In one aspect, the plurality of objects may be similar. Techniques discussed herein propose dynamically learning information associated with each of the objects and discriminating between objects based on their differentiating features. In one implementation, this may be done by maintaining a database associated with each object and updating the dynamic database transferred while the objects are tracked. The tracker uses algorithmic means for differentiating objects by focusing on the differences amongst the objects. For example, in one implementation, the method may weigh the differences between different fingers higher than their associated similarities to facilitate differentiating the fingers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.