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Automatic Temporal Segmentation of Articulated Hand Motion

  • 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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Document Type:Conference Object
Author:Katharina Stollenwerk, Anna Vögele, Björn Krüger, André Hinkenjann, Reinhard Klein
Parent Title (English):Gervasi, Murgante et al. (Eds.): Computational Science and Its Applications (ICCSA 2016). 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part II. Lecture Notes in Computer Science, Vol. 9787
First Page:433
Last Page:449
Date of first publication:2016/07/12
Award:Best Paper Award
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2016/07/18