The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Passive sensing of human hand and limb motion is important for a wide range of applications from human computer interaction to athletic performance measurement. High degree of freedom articulated mechanisms like the human hand are difficult to track because of their large state space and complex image appearance. This article describes a model-based hand tracking system called DigitEyes that can recover the state of a DOF hand model from ordinary gray scale images at speeds of up to Hz.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Vision for Virtual Environments

Associated Project(s): DigitEyes

Text Reference

Jim Rehg and Takeo Kanade, "Visual Tracking of High DOF Articulated Structures: An Application to Human Hand Tracking," Proceedings of the 3rd European Conference on Computer Vision (ECCV '94), May, 1994, pp. 35-46.

BibTeX Reference

@inproceedings{Rehg_1994_1686,
   author = "Jim Rehg and Takeo Kanade",
   title = "Visual Tracking of High DOF Articulated Structures: An Application to Human Hand Tracking",
   booktitle = "Proceedings of the 3rd European Conference on Computer Vision (ECCV '94)",
   pages = "35-46",
   month = "May",
   year = "1994",
   volume = "II",
}

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