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Issue No. 02 - February (2008 vol. 9)
ISSN: 1541-4922
pp: 1
Ron Morrison , University of St Andrews
Anton van den Hengel , University of Adelaide, Adelaide
Henry Detmold , University of Adelaide, Adelaide
Katrina Falkner , University of Adelaide, Adelaide
Anthony Dick , University of Adelaide, Adelaide
David S. Munro , University of Adelaide, Adelaide
ABSTRACT
Future generations of automated video surveillance systems must be scalable and evolvable, and they demand sophisticated middleware support. This middleware approach partitions systems according to an activity topology—a graph describing activity observed by the surveillance camera network. Processing within topological partitions uses well-known architectural styles such as blackboards, and pipes and filters. Communication between partitions uses a service-oriented architecture. This middleware enables building intelligent video surveillance systems at a far larger scale than was previously possible.
INDEX TERMS
smart video surveillance, middleware, software architectures, blackboard, service-oriented architecture
CITATION
Ron Morrison, Anton van den Hengel, Henry Detmold, Katrina Falkner, Anthony Dick, David S. Munro, "Middleware for Distributed Video Surveillance", IEEE Distributed Systems Online, vol. 9, no. , pp. 1, February 2008, doi:10.1109/MDSO.2008.7
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