A System for Person-Independent Hand Posture Recognition against Complex Backgrounds

  • Authors:
  • Jochen Triesch;Christoph von der Malsburg

  • Affiliations:
  • Univ. of California, San Diego;Ruhr-Univ. Bochum, Bochum, Germany

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2001

Quantified Score

Hi-index 0.16

Visualization

Abstract

A computer vision system for person-independent recognition of hand postures against complex backgrounds is presented. The system is based on Elastic Graph Matching (EGM), which was extended to allow for combinations of different feature types at the graph nodes.