SCAAT: incremental tracking with incomplete information

  title={SCAAT: incremental tracking with incomplete information},
  author={Greg Welch and Gary Bishop},
  journal={Proceedings of the 24th annual conference on Computer graphics and interactive techniques},
  • G. Welch, G. Bishop
  • Published 3 August 1997
  • Computer Science
  • Proceedings of the 24th annual conference on Computer graphics and interactive techniques
The Kalman filter provides a powerful mathematical framework within which a minimum mean-square-error estimate of a user's position and orientation can be tracked using a sequence of single sensor observations, as opposed to groups of observations. We refer to this new approach as single-constraint-at-a-time or SCAAT tracking. The method improves accuracy by properly assimilating sequential observations, filtering sensor measurements, and by concurrently autocalibrating mechanical or electrical… 

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