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Template-Based Hand Detection and Tracking

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 3161)

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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© 2005 Springer-Verlag Berlin Heidelberg

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Cipolla, R., Stenger, B., Thayananthan, A., Torr, P.H.S. (2005). Template-Based Hand Detection and Tracking. In: Tistarelli, M., Bigun, J., Grosso, E. (eds) Advanced Studies in Biometrics. Lecture Notes in Computer Science, vol 3161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11493648_7

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  • DOI: https://doi.org/10.1007/11493648_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26204-6

  • Online ISBN: 978-3-540-28638-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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