Abstract
Within this paper a technique for model-based 3D hand tracking is presented. A hand model is built from a set of truncated quadrics, approximating the anatomy of a real hand with few parameters. Given that the projection of a quadric onto the image plane is a conic, the contours can be generated efficiently. These model contours are used as shape templates to evaluate possible matches in the current frame. The evaluation is done within a hierarchical Bayesian filtering framework, where the posterior distribution is computed efficiently using a tree of templates. We demonstrate the effectiveness of the technique by using it for tracking 3D articulated and non-rigid hand motion from monocular video sequences in front of a cluttered background.
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Cipolla, R., Stenger, B., Thayananthan, A., Torr, P.H.S. (2003). Hand Tracking Using a Quadric Surface Model and Bayesian Filtering. In: Wilson, M.J., Martin, R.R. (eds) Mathematics of Surfaces. Lecture Notes in Computer Science, vol 2768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39422-8_10
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DOI: https://doi.org/10.1007/978-3-540-39422-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20053-6
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