Publication: Improved Adaptivity and Robustness in D...
Master data
| Title: | Improved Adaptivity and Robustness in Decentralised Multi-Camera Networks |
| Subtitle: | |
| Abstract: | In this paper we present increased adaptivity and robustness in distributed object tracking by multi-camera networks using a socio-economic mechanism for learning the vision graph. To build-up the vision graph within a distributed smart-camera network, we use an ant-colony inspired mechanism, which exchanges responsibility for tracking objects using Vickrey auctions. Employing the learnt vision graph allows the system to optimise its communication. Since distributed smart camera networks are prone to uncertainties in individual cameras, such as failures or changes in extrinsic parameters, the vision graph should be sufficiently robust to enable seamless tracking and optimised communication. To better reflect real smart-camera platforms and networks, we consider that communication and handover are not instantaneous, and that cameras may be added, removed or their properties changed during runtime. Using our dynamic socio-economic approach, the network is able to continue tracking objects well, despite these uncertainties, and in some cases with improved performance. This demonstrates the adaptivity and robustness of our approach. |
| Keywords: |
| Publication type: | Article in compilation (Authorship) |
| Publication date: | 31.10.2012 (Print) |
| Published by: |
Proceedings of the 6th International Conference on Distributed Smart Cameras
Proceedings of the 6th International Conference on Distributed Smart Cameras
(
IEEE;
C. Bobda
)
to publication |
| Title of the series: | - |
| Volume number: | - |
| First publication: | Yes |
| Page: | pp. 6 - 6 |
Versionen
| Keine Version vorhanden |
| Publication date: | 31.10.2012 |
| ISBN: | - |
| ISSN: | - |
| Homepage: | http://pervasive.aau.at/publications/pdf/Esterle_icdsc2012.pdf |
Authors
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L. Esterle
No Data available
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P. R. Lewis
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B. Rinner
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X. Yao
No Data available
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| Lukas Esterle (internal) |
| Bernhard Rinner (internal) |
Assignment
| Organisation | Address | ||||
|---|---|---|---|---|---|
|
Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
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AT - 9020 Klagenfurt am Wörthersee |
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