Socially intelligent surveillance and monitoring: Analysing social dimensions of physical space

  • Cristani M
  • Murino V
  • Vinciarelli A
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Abstract

In general terms, surveillance and monitoring technologies aim at
understanding what people do in a given environment, whether this
means to ensure the safety of workers on the factory floor, to detect
crimes occurring in indoor or outdoor settings, or to monitor the
flow of large crowds through public spaces. However, surveillance
and monitoring technologies rarely consider that they analyze human
behavior, a phenomenon subject to principles and laws rigorous enough
to produce stable and predictable patterns corresponding to social,
affective, and psychological phenomena. On the other hand, these
phenomena are the subject of other computing domains, in particular
Social Signal Processing and Affective Computing, that typically
neglect scenarios relevant to surveillance and monitoring technologies,
especially when it comes to social and affective dimensions of space
in human activities. The goal of this paper is to show that the investigation
of the overlapping area between surveillance and monitoring on one
side, and Social Signal Processing and Affective Computing on the
other side can bring significant progress in both domains and open
a number of interesting research perspectives.

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