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Robust hand tracking in realtime using a single head-mounted RGB camera

: Hammer, J.H.; Beyerer, J.


Kurosu, M.:
Human-computer interaction. 15th International Conference, HCI International 2013. Vol.4: Interaction modalities and techniques : Las Vegas, NV, USA, July 21 - 26, 2013; Proceedings
Berlin: Springer, 2013 (Lecture Notes in Computer Science 8007)
ISBN: 3-642-39329-2
ISBN: 978-3-642-39329-7 (Print)
ISBN: 978-3-642-39330-3 (Online)
International Conference on Human-Computer Interaction (HCI International) <15, 2013, Las Vegas/Nev.>
Fraunhofer IOSB ()

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.