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Loveparade 2010: Automatic video analysis of a crowd disaster

: Krausz, Barbara; Bauckhage, Christian

Preprint urn:nbn:de:0011-n-1945694 (191 KByte PDF)
MD5 Fingerprint: e77d7a3bd542bd0266418aa6ca82bb7b
Erstellt am: 5.4.2012

Computer vision and image understanding : CVIU 116 (2012), Nr.3, S.307-319
ISSN: 1077-3142
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAIS ()
crowd behavior; crowd dynamics; crowd turbulence; congestion; video analysis; optical flow

On July 24, 2010, 21 people died and more than 500 were injured in a stampede at the Loveparade, a music festival, in Duisburg, Germany. Although this tragic incident is but one among many terrible crowd disasters that occur during pilgrimage, sports events, or other mass gatherings, it stands out for it has been well documented: there were a total of seven security cameras monitoring the Loveparade and the chain of events that led to disaster was meticulously reconstructed. In this paper, we present an automatic, video-based analysis of the events in Duisburg. While physical models and simulations of human crowd behavior have been reported before, to the best of our knowledge, automatic vision systems that detect congestions and dangerous crowd turbulences in real world settings were not reported yet. Derived from lessons learned from the video footage of the Loveparade, our system is able to detect motion patterns that characterize crowd behavior in stampedes. Based on our analysis, we propose methods for the detection and early warning of dangerous situations during mass events. Since our approach mainly relies on optical flow computations, it runs in real-time and preserves privacy of the people being monitored.