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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.


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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