Automatic Extraction of Pedestrian Trajectories from Video Recordings
Maik Boltes (),
Armin Seyfried,
Bernhard Steffen and
Andreas Schadschneider
Additional contact information
Maik Boltes: Research Centre Jülich, Jülich Supercomputing Centre
Armin Seyfried: Research Centre Jülich, Jülich Supercomputing Centre
Bernhard Steffen: Research Centre Jülich, Jülich Supercomputing Centre
Andreas Schadschneider: Cologne University, Institute of Theoretical Physics
A chapter in Pedestrian and Evacuation Dynamics 2008, 2010, pp 43-54 from Springer
Abstract:
Summary To understand and model pedestrian dynamics, reliable empirical data of pedestrian movement are necessary for analysis and verification, but the existing database is small, inaccurate and highly contradictory. For collecting trajectories from extensive experimental series with a large number of persons we are developing a software named PeTrack which automatically extracts these trajectories from normal video recordings with high accuracy in space and time.
Keywords: Video Recording; Automatic Extraction; Height Class; Colour Marker; Wide Angle Lens (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (4)
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:978-3-642-04504-2_3
Ordering information: This item can be ordered from
http://www.springer.com/9783642045042
DOI: 10.1007/978-3-642-04504-2_3
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 ().