Tracking using sensor data
US9613298B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2014 |
| Grant date | Apr 4, 2017 |
| Priority date | — |
| Expiry date | Jan 22, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/113
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Tracking using sensor data is described, for example, where a plurality of machine learning predictors are used to predict a plurality of complementary, or diverse, parameter values of a process describing how the sensor data arises. In various examples a selector selects which of the predicted values are to be used, for example, to control a computing device. In some examples the tracked parameter values are pose of a moving camera or pose of an object moving in the field of view of a static camera; in some examples the tracked parameter values are of a 3D model of a hand or other articulated or deformable entity. The machine learning predictors have been trained in series, with training examples being reweighted after training an individual predictor, to favor training examples on which the set of predictors already trained performs poorly.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.