System Architecture and Techniques for Gesture Recognition in Unconstraint Environments

  • Authors:
  • Markus Kohler

  • Affiliations:
  • -

  • Venue:
  • VSMM '97 Proceedings of the 1997 International Conference on Virtual Systems and MultiMedia
  • Year:
  • 1997

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Abstract

Controlling appliances in home environments by gestures is a step towards more intuitive and natural human computer interfaces. A brief overview on an existing vision based gesture recognition system and its architecture and details on ergonomic remote control of devices by gestures are clarified. The focus is on the motion detection, object normalization and identification, the modelling and the prediction of motion by the Kalman Filter. The initialization problem of the Kalman Filter of a vision based system for human motion tracking differs from initialization for physical systems, where manuals report measurement errors. A main interest was to develop the initialization and adequate Kalman model for human motion. Most aspects mentioned in this report were implemented in the ARGUS prototype.