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

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

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

Abstract

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.
Original languageEnglish
Title of host publication5th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2011)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-4577-1706-2
ISBN (Print)978-1-4577-1708-6
DOIs
Publication statusPublished - 2011
Event5th ACM/IEEE international conference on distributed smart cameras - Ghent, Belgium
Duration: 22 Aug 201125 Aug 2011

Conference

Conference5th ACM/IEEE international conference on distributed smart cameras
Abbreviated titleICDSC 2011
CountryBelgium
CityGhent
Period22/08/1125/08/11

Keywords

  • smart camera networks
  • multi-camera tracking
  • market-based control
  • topology identification
  • ant algorithms

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