Contribution to a conference proceedings/Contribution to a book

FZJ-2014-03076

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Tracking People in Crowded Scenes

Boltes, M. (Corresponding Author)FZJ* ; Seyfried, A.FZJ*

2014
Springer International Publishing Cham
ISBN: 978-3-319-02446-2

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Please use a persistent id in citations: doi:10.1007/978-3-319-02447-9_44

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.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 411 - Computational Science and Mathematical Methods (POF2-411) (POF2-411)

Appears in the scientific report 2014

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