Body feature detection and human pose estimation using inner distance shape contexts
US9904845B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2010 |
| Grant date | Feb 27, 2018 |
| Priority date | — |
| Expiry date | Aug 14, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, method, and computer program product for estimating human body pose are described. According to one aspect, a human figure silhouette is segmented from a depth image of a human actor. Contour points are sampled along the human figure silhouette. Inner Distance Shape Context (IDSC) descriptors of the sample contour points are determined and compared to IDSC descriptors of the feature points in an IDSC gallery for similarity. For each of the feature points, the sample contour point with the IDSC descriptor that is most similar to an IDSC of the feature point is identified as that feature point in the depth image. An estimated pose of a human model is estimated based on the detected feature points and kinematic constraints of the human model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.