Issue No. 02 - February (2008 vol. 9)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MDSO.2008.7
Henry Detmold , University of Adelaide, Adelaide
Anton van den Hengel , University of Adelaide, Adelaide
Anthony Dick , University of Adelaide, Adelaide
Katrina Falkner , University of Adelaide, Adelaide
David S. Munro , University of Adelaide, Adelaide
Ron Morrison , University of St Andrews
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.
smart video surveillance, middleware, software architectures, blackboard, service-oriented architecture
R. Morrison, A. van den Hengel, H. Detmold, K. Falkner, A. Dick and D. S. Munro, "Middleware for Distributed Video Surveillance," in IEEE Distributed Systems Online, vol. 9, no. , pp. 1, 2008.