Smart Camera Networks

Smart camera networks are real-time distributed embedded systems that perform computer vision using multiple cameras. They have emerged thanks to the simultaneous advances in four key disciplines: computer vision, image sensors, embedded computing, and sensor networks.

“We aim at advancing this field of research by applying novel networking concepts as well as by developing various prototypes,” Bernhard Rinner explains. Analyzing the captured data within the network in real-time is important to avoid transferring large volume of video data over the network. The strong resource limitations are challenging and require efficient algorithms and network management. The research team has developed various camera platforms and has deployed several camera networks both in indoor and outdoor environments. Prototype installations include traffic monitoring, environmental monitoring, and surveillance.

Bernhard Rinner and his team have been involved in smart camera research for more than a decade. The following articles document some highlights of that period:


Selected Publications

C. Piciarelli, L. Esterle, A. Khan, B. Rinner, and G. L. Foresti. Dynamic reconfiguration in camera networks: A short survey. IEEE Transactions on Circuits and Systems for Video Technology, 2016.

B. Rinner, L. Esterle, J. Simonjan, G. Nebehay, R. Pflugfelder, P. R. Lewis, and G. F. Dominguez. Self-aware and self-expressive camera networks. IEEE Computer, 2015.

C. Micheloni, B. Rinner, and G. L. Foresti. Video analysis in PTZ camera networks: From master-slave to cooperative smart cameras. IEEE Signal Processing Magazine, 2010.

B. Rinner and W. Wolf. Introduction to distributed smart cameras. In Proc. IEEE, 2008.

M. Bramberger, A. Doblander, A. Maier, B. Rinner, and H. Schwabach. Distributed embedded smart cameras for surveillance applications. IEEE Computer, 2006.