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  1. Proceedings of the international workshop on Middleware for sensor networks (MidSens '06)
  2. Middleware for video surveillance networks
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Dynamic reconfiguration in sensor middleware
DAViM: a dynamically adaptable virtual machine for sensor networks
Middleware for long-term deployment of delay-tolerant sensor networks
Building virtual sensors and actuators over logical neighborhoods
Service lifecycle management infrastructure for smart items
Middleware for video surveillance networks
AuViM: a middleware for audio/video sensor networks
TeenyLIME: transiently shared tuple space middleware for wireless sensor networks
Boolean formulation for sensor allocation problem and its efficient solver
Multi-training sensor networks with bipartite conflict graphs
A survey of middleware for sensor networks: state-of-the-art and future directions

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Middleware for video surveillance networks.

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Middleware for video surveillance networks

Content Provider ACM Digital Library
Author Detmold, Henry Falkner, Katrina Munro, David S. van den Hengel, Anton Morrison, Ron Dick, Anthony
Abstract Automated video surveillance networks are a class of sensor networks with the potential to enhance the protection of facilities such as airports and power stations from a wide range of threats. However, current systems are limited to networks of tens of cameras, not the thousands required to protect major facilities. Realising thousand camera automated surveillance networks demands middleware and architectural support; replacing the ad hoc approaches used in current systems with robust and scalable methods.This paper introduces middleware supporting both computation and communication in automated video surveillance networks. The computational approach is based on the Blackboard architectural style, which is widely used in signal processing and AI. Communication on the surveillance network follows the service oriented model, with publish/subscribe messaging; providing scalability, availability and the ability to integrate separately developed surveillance services. The middleware is demonstrated through its application to an important class of surveillance algorithms.
Starting Page 31
Ending Page 36
Page Count 6
File Format PDF
ISBN 1595934243
DOI 10.1145/1176866.1176872
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2006-11-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Video surveillance networks Middleware
Content Type Text
Resource Type Article
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