HumanTop: a multi-object tracking tabletop
In this paper, a computer vision based interactive multi-touch tabletop system called HumanTop is introduced. HumanTop implements a stereo camera vision subsystem which allows not only an accurate fingertip tracking algorithm but also a precise touch-over-the-working surface detection method. Based...
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Veröffentlicht in: | Multimedia tools and applications 2014-06, Vol.70 (3), p.1837-1868 |
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Sprache: | eng |
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Zusammenfassung: | In this paper, a computer vision based interactive multi-touch tabletop system called
HumanTop
is introduced.
HumanTop
implements a stereo camera vision subsystem which allows not only an accurate fingertip tracking algorithm but also a precise touch-over-the-working surface detection method. Based on a pair of visible spectra cameras, a novel synchronization circuit makes the camera caption and the image projection independent from each other, providing the minimum basis for the development of computer vision analysis based on visible spectrum cameras without any interference coming from the projector. The assembly of both cameras and the synchronization circuit is not only capable of performing an ad-hoc version of a depth camera, but it also introduces the recognition and tracking of textured planar objects, even when contents are projected over them. On the other hand
HumanTop
supports the tracking of sheets of paper and ID-code markers. This set of features makes the
HumanTop
a comprehensive, intuitive and versatile augmented tabletop that provides multitouch interaction with projective augmented reality on any flat surface. As an example to exploit all the capabilities of
HumanTop
, an educational application has been developed using an augmented book as a launcher to different didactic contents. A pilot study in which 28 fifth graders participated is presented. Results about efficiency, usability/satisfaction and motivation are provided. These results suggest that
HumanTop
is an interesting platform for the development of educational contents. |
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ISSN: | 1380-7501 1573-7721 |
DOI: | 10.1007/s11042-012-1193-y |