Pedestrian Detection in Infrared Images

@inproceedings{Bertozzi2003PedestrianDI,
  title={Pedestrian Detection in Infrared Images},
  author={Marco Bertozzi and Alberto Broggi and Paolo Grisleri and Thorsten Graf and M. Meinecke},
  year={2003}
}
This paper describes an approach for pedestrian detection in infrared images. The developed system has been implemented on an experimental vehicle equipped with an infrared camera and preliminarily tested in different situations. It is based on the localization of warm symmetrical objects with specific size and aspect ratio; since also road infrastructures and other road participants may have such characteristics, a set of matched filters was added in order to reduce false detections. A final… CONTINUE READING
Highly Cited
This paper has 92 citations. REVIEW CITATIONS
57 Citations
9 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 57 extracted citations

92 Citations

051015'05'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 92 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-9 of 9 references

PAROTO Project: The Benefit of Infrared Imagery for Obstacle Avoidance

  • Y. L. Guilloux, J. Lonnoy
  • Procs. IEEE Intelligent Vehicles Symposium 2002…
  • 2002

Shape-Based Pedestrian Detection and Tracking

  • D. M. Gavrila, J. Geibel
  • Procs. IEEE Intelligent Vehicles Symposium 2002…
  • 2002

Similar Papers

Loading similar papers…