Robust Hand Tracking in Realtime Using a Single Head-Mounted RGB Camera

• Published in: Human-Computer Interaction. Interaction Modalities and Techniques pp. 252 - 261
• Main Authors: Hammer, Jan Hendrik, Beyerer, Jürgen
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013
• Series: Lecture Notes in Computer Science
• ISBN: 9783642393297; 3642393292
• ISSN: 0302-9743; 1611-3349; 1611-3349
• DOI: 10.1007/978-3-642-39330-3_27

In this paper novel 2D-hand tracking algorithms used in a system for hand gesture interaction are presented. New types of head-mounted Augmented-Reality devices offer the possibility to visualize digital content in the user’s field of view. To interact with these head-mounted devices hand gestures are an intuitive modality. Generally, the recognition of hand gestures consists of two main steps: The first one is hand tracking and the second step gesture recognition. This paper concentrates on the first step: Hand tracking. Due to the wearing comfort of the glasses-like systems these only use a single camera to capture the field of view of the user. Therefore new algorithms for hand tracking without depth data are presented and compared to state-of-the-art algorithms by utilizing a thorough evaluation methodology for comparing trajectories.