Skip to main navigation Skip to search Skip to main content

Reliable field of view coverage in video-camera based wireless networks for traffic management applications

  • Codruta Istin
  • , Dan Pescaru
  • , Horia Ciocarlie
  • , Daniel Curiae
  • , Alex Doboli
  • Politehnica University of Timisoara

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper proposes a new method for real-time distributed image acquisition through wireless networks of traffic monitoring cameras. The goal is to provide comprehensive image acquisition in the presence of dynamic disturbances, which obstruct the field of view (FOV) of the cameras. The paper presents a collaborative online algorithm, which (upon FOV loss) identifies an optimized set of cameras that must be turned on to cover the FOV loss. The set is found using a novel cost function, also discussed in the paper. Experimental results are offered to illustrate the effectiveness of the method in recovering the lost FOV.

Original languageEnglish
Title of host publicationProceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008
Pages63-68
Number of pages6
DOIs
StatePublished - 2008
Event8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008 - Sarajevo, Bosnia and Herzegovina
Duration: Dec 16 2008Dec 19 2008

Publication series

NameProceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008

Conference

Conference8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008
Country/TerritoryBosnia and Herzegovina
CitySarajevo
Period12/16/0812/19/08

Keywords

  • Collaborative online algorithms
  • Coverage
  • Field of view
  • Sensor networks
  • Video camera

Fingerprint

Dive into the research topics of 'Reliable field of view coverage in video-camera based wireless networks for traffic management applications'. Together they form a unique fingerprint.

Cite this