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Metric learning from poses for temporal clustering of human motion

Autor
Lopez, A.; Gall, J.; Casas, J.; van Gool, L.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
24th British Machine Vision Conference
Any de l'edició
2013
Data de presentació
2012-09-04
Llibre d'actes
BMVC 2013: Proceedings of the 13th British Machine Vision Conference: 9-13 September 2013, Bristol University, UK
Pàgina inicial
49.1
Pàgina final
49.12
DOI
https://doi.org/10.5244/C.26.49 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/18496 Obrir en finestra nova
URL
http://www.bmva.org/bmvc/2012/BMVC/paper049/index.html Obrir en finestra nova
Resum
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 others such that it should be annotated as an action. To this end, we formulate the problem as weakly supervised temporal clustering for an unknown number of clusters. Weak supervision is attained by lear...
Citació
Lopez, A. [et al.]. Metric learning from poses for temporal clustering of human motion. A: British Machine Vision Conference. "Proceedings of the British Machine Vision Conference". Surrey: 2012, p. 49.1-49.12.
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Lopez Mendez, Adolfo  (autor ponent)
  • Gall, Juergen  (autor ponent)
  • Casas Pla, Josep Ramon  (autor ponent)
  • van Gool, Luc  (autor ponent)