Project Leader: Dr. Mark Coates, McGill University
With the widespread deployment of networked sensors and cameras throughout cities, there is an incredible opportunity for improving our safety and security by harnessing the
information available in these surveillance networks. Presently, the mathematics and algorithms to utilize fully surveillance networks of such scales do not exist. Surveillance networks incorporate
the cameras mounted on traffic lights and overpasses, the mobile cameras attached to emergency vehicles, and chemical and biological sensors for detecting dangerous contaminants. In the near future,
unmanned aerial vehicles (UAVs) will fly over our cities and provide aerial camera footage as well as other sensor information such as laser range data. The surveillance networks can comprise several
thousand sensors and cameras throughout a city, and the control of them is a very challenging engineering task. Our project focuses on the design of strategies for managing the sensors and cameras in
the network and harnessing the information provided by them.
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