Improved person tracking using a combined pseudo-2D-HMM and Kalman filter approach with automatic background state adaptation

@inproceedings{Breit2001ImprovedPT,
  title={Improved person tracking using a combined pseudo-2D-HMM and Kalman filter approach with automatic background state adaptation},
  author={Harald Breit and Gerhard Rigoll},
  booktitle={ICIP},
  year={2001}
}
This paper presents the continuation of our work on object tracking in presence of non-stationary background using a combination of a Pseudo-2D Hidden Markov Model (P2DHMM) and a Kalman filter [l]. It presents a major improvement by introducing a novel method that allows an automatic adaptation of our system to the changing background. Other improvements of the system’s tracking capabilities are achieved by refined person models and normalization procedures. One of the major goals of our… CONTINUE READING

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