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Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking

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Part of the Lecture Notes in Computer Science book series (LNCS,volume 1843)

Abstract

Partitioned sampling is a technique which was introduced in [I7] for avoiding the high cost of particle filters when tracking more than one object. In fact this technique can reduce the curse of dimensionality in other situations too. This paper describes how to use partitioned sampling on articulated objects, obtaining results that would be impossible with standard sampling methods. Because partitioned sampling is the statistical analogue of a hierarchical search, it makes sense to use it on articulated objects, since links at the base of the object can be localised before moving on to search for subsequent links.

Keywords

  • Particle Filter
  • Configuration Space
  • Tracking Problem
  • Posterior Probability Distribution
  • Hand Tracker

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 2000 Springer-Verlag Berlin Heidelberg

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MacCormick, J., Isard, M. (2000). Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking. In: Vernon, D. (eds) Computer Vision — ECCV 2000. ECCV 2000. Lecture Notes in Computer Science, vol 1843. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45053-X_1

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  • DOI: https://doi.org/10.1007/3-540-45053-X_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67686-7

  • Online ISBN: 978-3-540-45053-5

  • eBook Packages: Springer Book Archive

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