Monocular tracking of 3D human motion with a coordinated mixture of factor analyzers
US7450736B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2006 |
| Grant date | Nov 11, 2008 |
| Priority date | — |
| Expiry date | Oct 26, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a method and system for efficiently and accurately tracking three-dimensional (3D) human motion from a two-dimensional (2D) video sequence, even when self-occlusion, motion blur and large limb movements occur. In an offline learning stage, 3D motion capture data is acquired and a prediction model is generated based on the learned motions. A mixture of factor analyzers acts as local dimensionality reducers. Clusters of factor analyzers formed within a globally coordinated low-dimensional space makes it possible to perform multiple hypothesis tracking based on the distribution modes. In the online tracking stage, 3D tracking is performed without requiring any special equipment, clothing, or markers. Instead, motion is tracked in the dimensionality reduced state based on a monocular video sequence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.