A framework for determining overlap in large scale networks
Date
2009
Authors
Van Den Hengel, A.
Detmold, H.
Madden, C.
Dick, A.
Cichowski, A.
Hill, R.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009. (ICDSC 2009): pp.1-8
Statement of Responsibility
Anton van den Hengel, Henry Detmold, Christopher Madden, Anthony Dick, Alex Cichowski and Rhys Hill
Conference Name
ACM/IEEE International Conference on Distributed Smart Cameras (3rd : 2009 : Como, Italy)
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.