Abstract | ||
---|---|---|
Today, talks, presentations, and lectures are often captured on video to give a broad audience the possibility to (re-)access the content. As presenters are often moving around during a talk it is necessary to guide recording cameras. We present an automatic solution for user tracking and camera control. It uses a depth camera for user tracking, and a scalable networking architecture based on publish/subscribe messaging for controlling multiple video cameras. Furthermore, we present our experiences with the system during actual lectures at an university. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/ISM.2012.96 | Multimedia |
Keywords | Field | DocType |
camera control,automatic camera control,multiple video camera,broad audience,scalable networking architecture,depth camera,user tracking,automatic solution,motion control,message passing,tracking | Computer vision,Motion control,Computer science,Camera auto-calibration,Smart camera,Professional video camera,Video tracking,Artificial intelligence,Multimedia,Message passing,Three-CCD camera,Scalability | Conference |
ISBN | Citations | PageRank |
978-1-4673-4370-1 | 6 | 0.54 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Bjorn Winkler | 1 | 6 | 0.54 |
Kai Michael Hover | 2 | 13 | 1.45 |
Aristotelis Hadjakos | 3 | 116 | 16.68 |
Max Mühlhäuser | 4 | 1652 | 252.87 |