| Records |
Author  |
Leon J.M. Rothkrantz; Zhenke Yang |
| 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 |
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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 |
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Thesis |
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| 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 |
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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 |
|
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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| Author |
Siska Fitrianie; Zhenke Yang; Leon J.M. Rothkrantz |
| Title |
Developing concept-based user interface using icons for reporting observations |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
| Volume |
|
Issue |
|
Pages |
394-405 |
| Keywords |
Communication systems; Information systems; Mobile devices; Visual communication; Communication interface; Icon-based interfaces; Language interface; Mobile device applications; Reporting observations; Spatial arrangements; Spatial configuration; Structured messages; User interfaces |
| Abstract |
In recent years, we have developed a visual communication interface for reporting observations in which messages can be constructed using a spatial arrangement of icons. Each icon on the interface represents a concept or idea. This paper reports about research on a visual language interface, which allows users to create structured messages of icon strings simultaneously in a two-dimensional parallel and spatial configuration. The developed system provides drawing tools and predefined sets of icons that support a free and natural way to sketch and describe crisis situations. A coherent and context dependent interpretation of the icon configuration can be constructed by the employment of ontology. In addition, the interface is also able to convert the interpretation into crisis scenarios as feedback to the user on his/her input. |
| Address |
Man-Machine Interaction Group, Delft University of Technology, Netherlands |
| Corporate Author |
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Thesis |
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| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
| 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 |
|
Series Issue |
|
Edition |
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| ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
| Track |
Observation Systems in Crisis Situations |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
496 |
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| Author |
Zhenke Yang; Leon J.M. Rothkrantz |
| Title |
Emotion sensing for context sensitive interpretation of crisis reports |
Type |
Conference Article |
| Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
| Volume |
|
Issue |
|
Pages |
507-514 |
| Keywords |
Computer science; Computers; Fusion reactions; Context sensitive; Emergent interpretation; Emotion; Emotion modeling; Emotional quality; Environmental agency; Multi-modal; Scenario scripts; Quality control |
| Abstract |
The emotional qualities of a report play an important role in the evaluation of eye witness reports in crisis centers. Human operators in the crisis center can use the amount of anxiety and stress detected in a spoken report to rapidly estimate the possible impact and urgency of a report and the appropriate response to the reporter. This paper presents ongoing work in automated multi-modal emotion sensing of crisis reports in order to reduce the cognitive load on human operators. Our approach is based on the work procedures adopted by the crisis response center Rijnmond environmental agency (DCMR) and assumes a spoken dialogue between a reporter and a crisis control center. We use an emotion model based on conceptual graphs that is continually evaluated while the dialogue continues. We show how the model can be applied to interpret crisis report in a fictional toxic gas dispersion scenario. |
| Address |
Man-Machine-Interaction Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628CD Delft, Netherlands |
| Corporate Author |
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Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
|
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 |
|
| ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
| Track |
EMOT |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
|
Serial |
1123 |
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