Capturing and recognizing hand postures using inner distance shape contexts
US8428311B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2010 |
| Grant date | Apr 23, 2013 |
| Priority date | — |
| Expiry date | Oct 8, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/46
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, method, and computer program product for recognizing hand postures are described. According to one aspect, a set of training images is provided with labels identifying hand states captured in the training images. Inner Distance Shape Context (IDSC) descriptors are determined for the hand regions in the training images, and fed into a Support Vector Machine (SVM) classifier to train it to classify hand shapes into posture classes. An IDSC descriptor is determined for a hand region in a testing image, and classified by the SVM classifier into one of the posture classes the SVM classifier was trained for. The hand posture captured in the testing image is recognized based on the classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.