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  4. Automatic detection of dangerous motion behavior in human crowds
 
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2011
Conference Paper
Title

Automatic detection of dangerous motion behavior in human crowds

Abstract
Tragically, mass gatherings such as music festivals, sports events or pilgrimage quite often end in terrible crowd disasters with many victims. In the past, research focused on developing physical models that model human behavior in order to simulate pedestrian flows and to identify potentially hazardous locations. However, no automatic systems for detection of dangerous motion behavior in crowds exist. In this paper, we present an automatic system for the detection and early warning of dangerous situations during mass events. It is based on optical flow computations and detects patterns of crowd motion that are characteristic for hazardous congestions. By applying an online change-point detection algorithm, the system is capable of identifying changes in pedestrian flow and thus alarms security personnel to take necessary actions.
Author(s)
Krausz, Barbara  
Bauckhage, Christian  
Mainwork
AVSS 2011, IEEE 8th International Conference on Advanced Video and Signal-based Surveillance  
Conference
International Conference on Advanced Video and Signal-based Surveillance (AVSS) 2011  
Open Access
File(s)
Download (1.86 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-r-373103
10.1109/AVSS.2011.6027326
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • video surveillance

  • crowd monitoring

  • congestion

  • shock wave

  • mass behavior

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