Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1504/IJCAT.2010.034744 | IJCAT |
Keywords | DocType | Volume |
time stamp,relative variable frame rate,vision-based sensor network,synchronisation methodology,clock skew,ballistic object,variable frame rate,sensor network,predictive object,relative time stamp,pixel,synchronization,trajectory,object recognition,wireless sensor networks,tracking,calibration,computer vision,synchronisation | Journal | 39 |
Issue | ISSN | Citations |
1/2/3 | 0952-8091 | 3 |
PageRank | References | Authors |
0.39 | 7 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. H. Messom | 1 | 35 | 6.04 |