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Lukas Esterle

A socio-economic approach to online vision graph generation and handover in distributed smart camera networks

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DOI

  • Lukas Esterle
  • Peter R. Lewis, Birmingham University
  • ,
  • Martin Bogdanski, Birmingham University
  • ,
  • Bernhard Rinner, University of Klagenfurt
  • ,
  • Xin Yao, Birmingham University

In this paper we propose an approach based on self-interested autonomous cameras, which exchange responsibility for tracking objects in a market mechanism, in order to maximise their own utility. A novel ant-colony inspired mechanism is used to grow the vision graph during runtime, which may then be used to optimise communication between cameras. The key benefits of our completely decentralised approach are on the one hand generating the vision graph online which permits the addition and removal cameras to the network during runtime and on the other hand relying only on local information, increasing the robustness of the system. Since our market-based approach does not rely on a priori topology information, the need for any multi-camera calibration can be avoided.

OriginalsprogEngelsk
Tidsskrift2011 5th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2011
DOI
StatusUdgivet - 4 nov. 2011
Eksternt udgivetJa
Begivenhed2011 5th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2011 - Ghent, Belgien
Varighed: 22 aug. 201125 aug. 2011

Konference

Konference2011 5th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2011
LandBelgien
ByGhent
Periode22/08/201125/08/2011
SponsorUniversity of Ghent, FWO, IBBT, Object Video, Philips

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