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 27 DOF hand model from ordinary gray scale images at speeds of up to 10 Hz.
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© 1994 Springer-Verlag Berlin Heidelberg
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Rehg, J.M., Kanade, T. (1994). Visual tracking of high DOF articulated structures: An application to human hand tracking. In: Eklundh, JO. (eds) Computer Vision — ECCV '94. ECCV 1994. Lecture Notes in Computer Science, vol 801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028333
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DOI: https://doi.org/10.1007/BFb0028333
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