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Tracking People in Crowded Scenes

In: Pedestrian and Evacuation Dynamics 2012

Author

Listed:
  • Maik Boltes

    (Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre)

  • Armin Seyfried

    (Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre)

Abstract

For the collection of trajectory data of pedestrian movement in crowds we are developing software for the automatic extraction of accurate trajectories out of video recordings. In this paper a newly introduced method for a markerless detection is presented. This method identifies people by comparing the shape of the top part of their body with the perspective depth field of overhead stereo recordings. Features to match are pyramidal stacks of ellipses, which approximate isolines of the same distance to the camera.

Suggested Citation

  • Maik Boltes & Armin Seyfried, 2014. "Tracking People in Crowded Scenes," Springer Books, in: Ulrich Weidmann & Uwe Kirsch & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2012, edition 127, pages 533-542, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-02447-9_44
    DOI: 10.1007/978-3-319-02447-9_44
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