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.
|Number of pages||6|
|Journal||International Journal of Computer Applications in Technology|
|Publication status||Published - 2010|
- camera synchronisation
- distributed systems
- sensor networks