Abstract
This report shows how to realize a gesture recognition system for controlling appliances in home environments. It gives a brief overview on an existing system and clarifies details on ergonomic remote control of devices by gestures with the help of a vision system. The focus is on the motion detection, object normalization and identification, the modelling and the prediction of motion by the Kalman Filter. A main interest was to show through the example ARGUS, how the Kalman Filter should be modelled and initialized for a physical human motion. The initialization problem of the Kalman Filter of a vision based system for human motion tracking differs from initializing for physical systems, where manuals report measurement errors. Most aspects mentioned in this report were implemented in the ARGUS prototype.
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