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

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

View graph of relations Save citation

Authors

Research units

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.

Request a copy

Request a copy

Details

Publication date2011
Publication title5th 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
Original languageEnglish
Event5th ACM/IEEE international conference on distributed smart cameras - Ghent, Belgium

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

DOI

Employable Graduates; Exploitable Research

Copy the text from this field...