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Proceedings Paper

Multisensor benchmark data for riot control
Author(s): Uwe Jäger; Marc Höpken; Bernhard Dürr; Jürgen Metzler; Dieter Willersinn
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Paper Abstract

Quick and precise response is essential for riot squads when coping with escalating violence in crowds. Often it is just a single person, known as the leader of the gang, who instigates other people and thus is responsible of excesses. Putting this single person out of action in most cases leads to a de-escalating situation. Fostering de-escalations is one of the main tasks of crowd and riot control. To do so, extensive situation awareness is mandatory for the squads and can be promoted by technical means such as video surveillance using sensor networks. To develop software tools for situation awareness appropriate input data with well-known quality is needed. Furthermore, the developer must be able to measure algorithm performance and ongoing improvements. Last but not least, after algorithm development has finished and marketing aspects emerge, meeting of specifications must be proved. This paper describes a multisensor benchmark which exactly serves this purpose. We first define the underlying algorithm task. Then we explain details about data acquisition and sensor setup and finally we give some insight into quality measures of multisensor data. Currently, the multisensor benchmark described in this paper is applied to the development of basic algorithms for situational awareness, e.g. tracking of individuals in a crowd.

Paper Details

Date Published: 7 October 2008
PDF: 5 pages
Proc. SPIE 7114, Electro-Optical Remote Sensing, Photonic Technologies, and Applications II, 711403 (7 October 2008); doi: 10.1117/12.799822
Show Author Affiliations
Uwe Jäger, Fraunhofer Institute for Information and Data Processing (Germany)
Marc Höpken, Fraunhofer Institute for Information and Data Processing (Germany)
Bernhard Dürr, Fraunhofer Institute for Information and Data Processing (Germany)
Jürgen Metzler, Fraunhofer Institute for Information and Data Processing (Germany)
Dieter Willersinn, Fraunhofer Institute for Information and Data Processing (Germany)


Published in SPIE Proceedings Vol. 7114:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications II
Gary W. Kamerman; Ove K. Steinvall; Keith L. Lewis; Thomas J. Merlet; Richard C. Hollins, Editor(s)

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