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Adaptive Probabilistic Tracking Embedded in Smart Cameras for Distributed Surveillance in a 3D Model

By Sven Fleck, Wolfgang Stra&#223 and Florian Busch


Tracking applications based on distributed and embedded sensor networks are emerging today, both in the fields of surveillance and industrial vision. Traditional centralized approaches have several drawbacks, due to limited communication bandwidth, computational requirements, and thus limited spatial camera resolution and frame rate. In this article, we present network-enabled smart cameras for probabilistic tracking. They are capable of tracking objects adaptively in real time and offer a very bandwidthconservative approach, as the whole computation is performed embedded in each smart camera and only the tracking results are transmitted, which are on a higher level of abstraction. Based on this, we present a distributed surveillance system. The smart cameras' tracking results are embedded in an integrated 3D environment as live textures and can be viewed from arbitrary perspectives. Also a georeferenced live visualization embedded in Google Earth is presented

Topics: Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Technology, T, DOAJ:Electrical and Nuclear Engineering, DOAJ:Technology and Engineering, Electronics, TK7800-8360
Publisher: Springer
Year: 2006
DOI identifier: 10.1155/2007
OAI identifier:
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