Improved adaptivity and robustness in decentralised multi-camera networks

Lukas Esterle, Bernhard Rinner, Peter R. Lewis, Xin Yao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 autonomously 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 continuously. 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 and adaptable during runtime 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 all these uncertainties, and in some cases even with improved performance. This demonstrates the adaptivity and robustness of our approach.

Original languageEnglish
Title of host publication2012 6th International Conference on Distributed Smart Cameras, ICDSC 2012
PublisherIEEE
Number of pages6
ISBN (Print)978-1-4503-1772-6
Publication statusPublished - 2012
Event6th International Conference on Distributed Smart Cameras - Hong Kong, China
Duration: 30 Oct 20122 Nov 2012

Conference

Conference6th International Conference on Distributed Smart Cameras
Abbreviated titleICDSC 2012
CountryChina
CityHong Kong
Period30/10/122/11/12

Fingerprint

Cameras
Communication
Economics
Uncertainty

Bibliographical note

© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Cite this

Esterle, L., Rinner, B., Lewis, P. R., & Yao, X. (2012). Improved adaptivity and robustness in decentralised multi-camera networks. In 2012 6th International Conference on Distributed Smart Cameras, ICDSC 2012 IEEE.
Esterle, Lukas ; Rinner, Bernhard ; Lewis, Peter R. ; Yao, Xin. / Improved adaptivity and robustness in decentralised multi-camera networks. 2012 6th International Conference on Distributed Smart Cameras, ICDSC 2012. IEEE, 2012.
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Esterle, L, Rinner, B, Lewis, PR & Yao, X 2012, Improved adaptivity and robustness in decentralised multi-camera networks. in 2012 6th International Conference on Distributed Smart Cameras, ICDSC 2012. IEEE, 6th International Conference on Distributed Smart Cameras, Hong Kong, China, 30/10/12.

Improved adaptivity and robustness in decentralised multi-camera networks. / Esterle, Lukas; Rinner, Bernhard; Lewis, Peter R.; Yao, Xin.

2012 6th International Conference on Distributed Smart Cameras, ICDSC 2012. IEEE, 2012.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Esterle L, Rinner B, Lewis PR, Yao X. Improved adaptivity and robustness in decentralised multi-camera networks. In 2012 6th International Conference on Distributed Smart Cameras, ICDSC 2012. IEEE. 2012