Using the Condensation Algorithm to Implement Tracking for Mobile Robots

  title={Using the Condensation Algorithm to Implement Tracking for Mobile Robots},
  author={Esther Meier},
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
Highly Cited
This paper has 70 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 30 extracted citations

70 Citations

Citations per Year
Semantic Scholar estimates that this publication has 70 citations based on the available data.

See our FAQ for additional information.


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

Similar Papers

Loading similar papers…