Middleware for distributed video surveillance

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.