Middleware for video surveillance networks
Proceedings of the international workshop on Middleware for sensor networks
A framework for lab-based real-time video analysis on distributed camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Review: on the use of agent technology in intelligent, multisensory and distributed surveillance
The Knowledge Engineering Review
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Video surveillance is a key technology for enhanced protection of facilities such as airports and power stations from various types of threat. Networks of thousands of IP-based cameras are now possible, but current surveillance methodologies become increasingly ineffective as the number of cameras grows. Constructing software that efficiently and reliably deals with networks of this size is a distributed information processing problem as much as it is a video interpretation challenge. This paper demonstrates a software architecture approach to the construction of large scale surveillance network software and explores the implications for instantiating surveillance algorithms at such a scale. A novel architecture for video surveillance is presented, and its efficacy demonstrated through application to an important class of surveillance algorithms.