Tracking People in Crowded Scenes

Maik Boltes () and Armin Seyfried ()
Additional contact information
Maik Boltes: Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre
Armin Seyfried: Forschungszentrum Jülich GmbH, Jülich Supercomputing Centre

A chapter in Pedestrian and Evacuation Dynamics 2012, 2014, pp 533-542 from Springer

Abstract: 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.

Keywords: Field study; Crowd; People detection; Stereo imaging (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02447-9_44

Ordering information: This item can be ordered from
http://www.springer.com/9783319024479

DOI: 10.1007/978-3-319-02447-9_44

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().