Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/55119
Citations | ||
Scopus | Web of ScienceĀ® | Altmetric |
---|---|---|
?
|
?
|
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Van Den Hengel, A. | - |
dc.contributor.author | Detmold, H. | - |
dc.contributor.author | Madden, C. | - |
dc.contributor.author | Dick, A. | - |
dc.contributor.author | Cichowski, A. | - |
dc.contributor.author | Hill, R. | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | Proceedings of the Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009. (ICDSC 2009): pp.1-8 | - |
dc.identifier.isbn | 9781424446209 | - |
dc.identifier.uri | http://hdl.handle.net/2440/55119 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | Anton van den Hengel, Henry Detmold, Christopher Madden, Anthony Dick, Alex Cichowski and Rhys Hill | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/icdsc.2009.5289363 | - |
dc.title | A framework for determining overlap in large scale networks | - |
dc.type | Conference paper | - |
dc.contributor.conference | ACM/IEEE International Conference on Distributed Smart Cameras (3rd : 2009 : Como, Italy) | - |
dc.identifier.doi | 10.1109/ICDSC.2009.5289363 | - |
dc.publisher.place | USA | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Van Den Hengel, A. [0000-0003-3027-8364] | - |
dc.identifier.orcid | Dick, A. [0000-0001-9049-7345] | - |
Appears in Collections: | Aurora harvest Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.