Johns Hopkins Computer Science : CIRL : Vision Based HCI

VICS - Visual Interaction Cues for Local Based HCI
People - Dr. Gregory Hager, Dr. Darius Burschka, Jason Corso, Grant Ye
Sponsored by the National Science Foundation.
Description - The goal of the project is to explore the use of local-based vision algorithms to augment human-computer interaction. Both geometric and appearance-based approaches are being analysed. We are interesting in developing and studying algorithms that may be used to create pluggable interaction components for modern, video-enabled interfaces. Examples of such algorithms being studying follow (videos are below): Adaptive Background Modeling Intelligent Buttons The 4D Touchpad - A new platform for the development of next-generation interfaces. It facilitates unencumbered interaction with an architecture that provides core functionality for general vision-based interfaces.
Publications - Jason Corso, Darius Burschka, and Gregory D. Hager. The 4D Touchpad: Unencumbered HCI With VICs. In Proceedings of CVPRHCI. Madison, Wisconsin, 2003. To Appear Guangqi Ye, Jason Corso, Darius Burschka, and Gregory D. Hager. Vics: A modular vision-based hci framework. In Proceedings of 3rd International Conference on Computer Vision Systems. Pages 257-267, Graz, Austria, 2003. Jason Corso and Gregory D. Hager. Planar surface tracking using direct stereo. Technical report, 2002. CIRL Lab Technical Report. Guangqi Ye and Gregory D. Hager. Appearance-based visual interaction. Technical report, 2002. CIRL Lab Technical Report.
Demo Movies - The 4D Touchpad Demo 1 [download] Planar Surface Tracking [download] Adaptive Background Modeling Demo 1 [download] Adaptive Background Modeling Demo 2 [download] Action Learning Demo 1 [download] Composite of Vision-based Interactive Work [download]
More Information - At Jason Corso's Project Page

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VICS - Visual Interaction Cues for Local Based HCI