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Author (up) Leon J.M. Rothkrantz; Zhenke Yang pdf  isbn
  Title Crowd control by multiple cameras Type Conference Article
  Year 2009 Publication ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives Abbreviated Journal ISCRAM 2009  
  Volume Issue Pages  
  Keywords Bayesian networks; Computer vision; Bayesian reasoning; Conditional probabilities; Crisis events; Crowd control; Delft University of Technology; Multiple cameras; Scenarios; Scripts; Information systems  
  Abstract One of the goals of the crowd control project at Delft University of Technology is to detect and track people during a crisis event, classify their behavior and assess what is happening. The assumption is that the crisis area is observed by multiple cameras (fixed or mobile). The cameras sense the environment and extract features such as the amount of motion. These features are the input to a Bayesian network with nodes corresponding to situations such as terroristic attack, fire, and explosion. Given the probabilities of the observed features, by reasoning, the likelihood of the possible situations can be computed. A prototype was tested in a train compartment and its environment. Forty scenarios, performed by actors, were recorded. From the recordings the conditional probabilities have been computed. The scenarios are designed as scripts which proved to be a good methodology. The models, experiments and results will be presented in the paper.  
  Address Man-Machine Interaction Group, Delft University of Technology, 2628CD Delft, Netherlands; SEWACO Faculty of Military Sciences, Netherlands Defence Academy, Den Helder, Netherlands  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Gothenburg Editor J. Landgren, S. Jul  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789163347153 Medium  
  Track Open Track Expedition Conference 6th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 894  
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