Automatic Extraction of Pedestrian Trajectories from Video Recordings View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2009-12-15

AUTHORS

Maik Boltes , Armin Seyfried , Bernhard Steffen , Andreas Schadschneider

ABSTRACT

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. More... »

PAGES

43-54

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-04504-2_3

DOI

http://dx.doi.org/10.1007/978-3-642-04504-2_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001369605


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