Synchronisation of vision-based sensor networks with variable frame rates

C. H. Messom

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)


This paper introduces a synchronisation methodology for distributed vision-based sensor networks with clock skew or variable frame rates. The methodology requires a ballistic or otherwise predictive object to be tracked by the sensor network and used to calibrate the clock skew and/or relative variable frame rates between the cameras. The relative time stamp of each image captured can be extracted using the dynamic model of the predictive object. The time stamps and a best fit correlation are used to synchronise all the cameras (and their video streams) that are tracking the same predictive object. In sport the predictive object is likely to be a ballistic object such as a ball or a player in flight, while in security applications, the predictive object may be trains, cars or other objects travelling at predictable speeds in known locations.

Original languageEnglish
Pages (from-to)153-158
Number of pages6
JournalInternational Journal of Computer Applications in Technology
Issue number1-3
Publication statusPublished - 2010


  • camera synchronisation
  • distributed systems
  • sensor networks

Cite this