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.
CITATION STYLE
Stollenwerk, K., Vögele, A., Krüger, B., Hinkenjann, A., & Klein, R. (2016). Automatic temporal segmentation of articulated hand motion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9787, pp. 433–449). Springer Verlag. https://doi.org/10.1007/978-3-319-42108-7_33
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