Metric learning from poses for temporal clustering of human motion

Temporal clustering of human motion into semantically meaningful behaviors is a challenging task. While unsupervised methods do well to some extent, the obtained clusters often lack a semantic interpretation. In this paper, we propose to learn what makes a sequence of human poses different from othe...

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Hauptverfasser: López Méndez, Adolfo, Gall, Juergen, Casas Pla, Josep Ramon, van Gool, Luc
Format: Tagungsbericht
Sprache:eng
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