Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/55119
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Type: Conference paper
Title: A framework for determining overlap in large scale networks
Author: Van Den Hengel, A.
Detmold, H.
Madden, C.
Dick, A.
Cichowski, A.
Hill, R.
Citation: Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009. (ICDSC 2009): pp.1-8
Publisher: IEEE
Publisher Place: USA
Issue Date: 2009
ISBN: 9781424446209
Conference Name: ACM/IEEE International Conference on Distributed Smart Cameras (3rd : 2009 : Como, Italy)
Statement of
Responsibility: 
Anton van den Hengel, Henry Detmold, Christopher Madden, Anthony Dick, Alex Cichowski and Rhys Hill
Abstract: This paper presents a novel framework designed for calculating the topology of overlapping cameras in large surveillance systems. Such a framework is a key enabler for efficient network-wide surveillance, e.g. inter-camera tracking, especially in large surveillance networks. The framework presented can be adapted to utilise numerous contradiction and correlation approaches to identify overlapping portions of camera views using activity within the system. It can also utilise a various arbitrary occupancy cells which can be used to adjust both the memory requirements and accuracy of the topology generated. The framework is evaluated for its memory usage, processing speed and the accuracy of its overlap topology on a 26 camera dataset using various approaches. A further examination of memory requirements and processing speed on a larger 200 camera network is also presented. The results demonstrate that the framework significantly reduces memory requirements and improves execution speed whilst producing useful topologies from a large surveillance system at real-time speeds.
RMID: 0020093110
DOI: 10.1109/ICDSC.2009.5289363
Published version: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5285212
Appears in Collections:Computer Science publications

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