Using the Condensation Algorithm to Implement Tracking for Mobile Robots

@inproceedings{Meier1999UsingTC,
  title={Using the Condensation Algorithm to Implement Tracking for Mobile Robots},
  author={Esther Meier},
  year={1999}
}
The detection of objects in every frame of a sequence is often not sufficient for scene interpretation. Tracking can increase the robustness, especially when occlusions occur or when objects temporally disappear. The standard approach for tracking is to use a Kalman filter for every object. This, however, requires the use of a high complexity management system to deal with the multiple hypotheses necessary to track all anticipated objects. In this paper we present a stochastic approach which is… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 15 references

Kalman Filtering

  • M. S. Grewal, A. P. Andrews
  • Prentice Hall
  • 1993
Highly Influential
4 Excerpts

A real-time computer vision system for measuring traffic parameters

  • D. Beymer, P. McLauchlan, B. Coifman, J. Malik
  • InComputer Vision and Pattern Recognition…
  • 1997
1 Excerpt

Toward augmented control system s

  • A. Pentland, A. Liu
  • IEEE Intelligent Vehicles , pages 350–355
  • 1995
1 Excerpt

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