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Author |
Leon J.M. Rothkrantz; Zhenke Yang |
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Title |
Crowd control by multiple cameras |
Type |
Conference Article |
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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 |
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Keywords |
Bayesian networks; Computer vision; Bayesian reasoning; Conditional probabilities; Crisis events; Crowd control; Delft University of Technology; Multiple cameras; Scenarios; Scripts; Information systems |
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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. |
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Address |
Man-Machine Interaction Group, Delft University of Technology, 2628CD Delft, Netherlands; SEWACO Faculty of Military Sciences, Netherlands Defence Academy, Den Helder, Netherlands |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
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Track |
Open Track |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
894 |
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Author |
Simone Sillem; Erik (J.W.F.) Wiersma |
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Title |
Comparing cell broadcast and text messaging for citizens warning |
Type |
Conference Article |
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Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
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Volume |
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Issue |
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Pages |
147-153 |
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Keywords |
Audition; Cellular telephones; Information systems; Message passing; Mobile phones; Signaling; Sirens; Citizens warning; Delft University of Technology; Mobile phone technology; Pilot studies; Sms; Telecommunication technologies; Text-based features; Text-based messages; Text messaging |
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Abstract |
In life-threatening emergencies, citizens need to be warned. The currently used method for citizens warning in The Netherlands is a siren. AT this moment, research is being carried out into using new technologies as an addition to this siren for citizens warning. Modern telecommunication technologies have great potential for informing the public. Especially the use of text-based features of mobile phones is considered for this function. Advantages of such a system are that these technologies overcome problems of hearing the siren and that text-based messages provide possibilities for giving more and more detailed information. In a number of pilot studies, Delft University of Technology has gained experience with the possibilities of these technologies for citizens warning services. This paper compares two text-based mobile phone technologies that can be used for citizens warning as an addition to the siren. |
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Address |
Safety Science, Delft University of Technology, Netherlands |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
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Track |
PUBLIC WARNING SYSTEMS |
Expedition |
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Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
951 |
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