Master data

Title: Dynamic Reconfiguration in Camera Networks: a short survey
Subtitle:
Abstract:

There is a clear trend in camera networks towardsenhanced functionality and flexibility, and a fixed staticdeployment is typically not sufficient to fulfill these increasedrequirements. Dynamic network reconfiguration helps to optimizethe network performance to the currently required specifictasks while considering the available resources. Although severalreconfiguration methods have been recently proposed, e.g., formaximizing the global scene coverage or maximizing the imagequality of specific targets, there is a lack of a general frameworkhighlighting the key components shared by all these systems.In this paper we propose a reference framework for networkreconfiguration and present a short survey of some of the mostrelevant state-of-the-art works in this field, showing how they canbe reformulated in our framework. Finally we discuss the mainopen research challenges in camera network reconfiguration.

Keywords:
Publication type: Article in journal (Authorship)
Publication date: 27.04.2015 (Online)
Published by: IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
to publication
 ( IEEE; )
Title of the series: -
Volume number: 26
Issue: 5
First publication: Yes
Version: -
Page: pp. 965 - 977
Total number of pages: 13 pp.

Versionen

Keine Version vorhanden
Publication date: 27.04.2015
ISBN (e-book): -
eISSN: 1051-8215
DOI: http://dx.doi.org/10.1109/TCSVT.2015.2426575
Homepage: https://pervasive.aau.at/publications/pdf/Piciarelli_TCSVT2015.pdf
Open access
  • Stored in a repository

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
  • 2020 - Electrical Engineering, Electronics, Information Engineering
Research Cluster
  • Self-organizing systems
Citation index
  • Science Citation Index (SCI)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

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Articles of the publication

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