TY  - JOUR
AB  - Purpose– The purpose of this study is to present a depth information-based solution for automatic camera control, depending on the presenter’s moving positions. 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 steer recording cameras. Design/methodology/approach– We use depth information from Kinect to implement a prototypical application to automatically steer multiple cameras for recording a talk. Findings– We present our experiences with the system during actual lectures at a university. We found out that Kinect is applicable for tracking a presenter during a talk robustly. Nevertheless, our prototypical solution reveals potential for improvements, which we discuss in our future work section. Originality/value– Tracking a presenter is based on a skeleton model extracted from depth information instead of using two-dimensional (2D) motion- or brightness-based image processing techniques. The solution uses a scalable networking architecture based on publish/subscribe messaging for controlling multiple video cameras.
VL  - 11
IS  - 3
SN  - 1741-5659
DO  - 10.1108/ITSE-06-2014-0012
UR  - https://doi.org/10.1108/ITSE-06-2014-0012
AU  - Winkler Michael
AU  - Michael Höver Kai
AU  - Mühlhäuser Max
ED  - Dr Markus Ketterl
ED  - Dr Christopher Brooks
ED  - Mr Florian Schimanke
PY  - 2014
Y1  - 2014/01/01
TI  - A depth camera based approach for automatic control of video cameras in lecture halls
T2  - Interactive Technology and Smart Education
PB  - Emerald Group Publishing Limited
SP  - 169
EP  - 183
Y2  - 2024/09/18
ER  -