Philipp Blauensteiner, Martin Kampel, Christoph Musik, Stefan Vogtenhuber
In recent years, surveillance and monitoring have become
topics of increased interest for not only research active
in computer vision, but also for many scholars in the
field of social sciences and the humanities. Joint research
becomes important when effective surveillance systems are
deployed in public spaces. This paper focuses on designing
and developing a socio-technical surveillance application
in a security critical infrastructure like a bank. The technical
system presented is designed to detect specific events
like abnormal or suspicious behaviour. A close collaboration
between scientists from Computer Science and Sociology
actively reflects the development of the new surveillance
technology. The novelties of the paper are rather a
socially intelligent surveillance system coordinating human
and non human actions then technical achievements. Based
on interviews several behaviours of interest as well as an
interaction between the system and its users are defined.
Experiments and results are shown based on a real life installation.
Blauensteiner, Philipp; Kampel, Martin; Musik, Christoph; Vogtenhuber, Stefan (2010), A Socio-Technical Approach for Event Detection in Security Critical Infrastructure, in: Intl. Workshop on Socially Intelligent Surveillance and Monitoring (SISM 2010) in conjunction with IEEE Intl. Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, CA, USA, June 2010.
Paper PDF, 1.9 MB