A simulation framework for camera sensor networks research

  • Authors:
  • Faisal Qureshi;Demetri Terzopoulos

  • Affiliations:
  • University of Toronto, Toronto, ON, Canada;University of California, Los Angeles, CA and University of Toronto, Toronto, ON, Canada

  • Venue:
  • Proceedings of the 11th communications and networking simulation symposium
  • Year:
  • 2008

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Abstract

We present our progress on the Virtual Vision paradigm, which prescribes visually and behaviorally realistic virtual environments, called "reality emulators", as a simulation tool to facilitate research on large-scale camera sensor networks. We have successfully exploited a prototype reality emulator---a virtual train station populated with numerous autonomous pedestrians---to rapidly develop novel solutions to challenging problems, such as multi-camera control and scheduling for persistent human surveillance by next-generation networks of smart cameras deployed in extensive public spaces.