KIT | KIT-Bibliothek | Impressum
Originalveröffentlichung
DOI: 10.1007/978-3-642-24393-6

Photogrammetric image analysis : ISPRS Conference, PIA 2011, Munich, Germany, October 5 - 7, 2011; proceedings

Stilla, U.; Rottensteiner, F.; Mayer, H.; Jutzi, B.; Butenuth, M. [Hrsg.]

Abstract:
In this paper, an overall framework for crowd analysis is presented. Detection and tracking of pedestrians as well as detection of dense crowds is performed on image sequences to improve simulation models of pedestrian flows. Additionally, graph-based event detection is performed by using Hidden Markov Models on pedestrian trajectories utilizing knowledge from simulations. Experimental results show the benefit of our integrated framework using simulation and real-world data for crowd analysis.


Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Proceedingsband
Jahr 2011
Sprache Englisch
Identifikator ISBN: 978-3-642-24392-9
ISSN: 0302-9743
KITopen ID: 1000032435
Verlag Springer, Berlin
Serie Lecture notes in computer science ; 6952
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft KITopen Landing Page