Automatic Temporal Segmentation of Articulated Hand Motion

  • Katharina Stollenwerk
  • Anna Vögele
  • Björn Krüger
  • André Hinkenjann
  • Reinhard Klein
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9787)

Abstract

This paper introduces a novel and efficient segmentation method designed for articulated hand motion. The method is based on a graph representation of temporal structures in human hand-object interaction. Along with the method for temporal segmentation we provide an extensive new database of hand motions. The experiments performed on this dataset show that our method is capable of a fully automatic hand motion segmentation which largely coincides with human user annotations.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Katharina Stollenwerk
    • 1
  • Anna Vögele
    • 2
  • Björn Krüger
    • 3
  • André Hinkenjann
    • 1
  • Reinhard Klein
    • 2
  1. 1.Institute of Visual ComputingBonn-Rhein-Sieg University of Applied SciencesSankt AugustinGermany
  2. 2.Insitute for Computer Science IIBonn UniversityBonnGermany
  3. 3.Gokhale Method InstituteStanfordUSA

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