Paper Info
Title
A Depth Camera Based Approach For Automatic Control Of Video Cameras In Lecture Halls
Abstract
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.
Year
DOI
Venue
2014
10.1108/ITSE-06-2014-0012
INTERACTIVE TECHNOLOGY AND SMART EDUCATION
Keywords
Field
DocType
Computer software, e-learning, Automatic camera control, Lecture recording, Lecture hall, Depth information based tracking, Microsoft Kinect
Lecture hall,Computer software,E learning,Computer graphics (images),Computer science,Automatic control,Originality,Multimedia,Camera control
Journal
Volume
Issue
ISSN
11
3
1741-5659
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Michael Bjorn Winkler100.34
Kai Michael Hover2131.45
Max Mühlhäuser31652252.87