Synchronization of vision based sensor networks with variable frame rates

C. H. Messom

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Abstract

This paper introduces a synchronization 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 is used to synchronize 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 traveling at predictable speeds in known locations.

Original languageEnglish
Title of host publication15th International Conference on Mechatronics and Machine Vision in Practice, M2VIP'08
Pages248-253
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event15th International Conference on Mechatronics and Machine Vision in Practice, M2VIP'08 - Auckland, New Zealand
Duration: 2 Dec 20084 Dec 2008

Conference

Conference15th International Conference on Mechatronics and Machine Vision in Practice, M2VIP'08
CountryNew Zealand
CityAuckland
Period2/12/084/12/08

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