Hartung-Gorre Verlag
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Renate Gorre D-78465
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+49 (0)7533 97227 Fax: +49 (0)7533 97228 www.hartung-gorre.de
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Selected Readings in
Vision and Graphics
edited by Luc Van Gool, Gábor Székely,
Markus Gross, Bernt Schiele
Volume 61
Michael
Van den Bergh,
Visual Body Pose Analysis for
Human-Computer Interaction.
2010.
XXII, 200 pages. EUR 64,00.
ISBN
978-3-86628-310-7
Human-Computer Interaction (HCI) is the study of
interaction between people (users) and computers. The recent advances in
computing technology push the interest in HCI in other ways than the
traditional keyboard, mouse or keypad devices. The work presented in this
thesis uses computer vision to enhance the HCI, by introducing novel real-time
and marker-less gesture and body movement-based systems. The thesis is
presented as building blocks, which can be used to build real-time, marker-less
interaction systems. These building blocks include segmentation of the input
images, 3D reconstruction, body part detection, hand gesture recognition and
full body pose recognition. The presented building blocks are then used to
demonstrate four real-world interaction systems.
Author:
Michael Van den
Bergh obtained his M.Sc. degree in
Electrical Engineering from the KU Leuven, Belgium in 2004. He performed his
master thesis in the VISICS lab at the Electrical Engineering institute (ESAT)
from the KU Leuven, Belgium. He joined the Computer Vision Laboratory at the
ETH Zurich in 2005 where he worked as a research assistant and Ph.D. student in
the field of Human-Computer Interaction. In 2010, he finished his doctoral
thesis "Visual Body Pose Analysis for Human-Computer Interaction" and
was awarded a Ph.D. degree from the ETH Zurich.
Keywords: Human-Computer Interaction
(HCI), Computer Vision, hand gesture recognition, body posture recognition,
linear discriminant analysis (LDA), Haarlets
Series " Selected
Readings in Vision and Graphics "
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