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Conference Papers Year : 2011

Pose Description Based on Natural Relation Sets

Benjamin Raynal
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  • PersonId : 764366
  • IdRef : 151819017
Vincent Nozick
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  • PersonId : 930290

Abstract

Motion capture and pose estimation of human beings is a highly active research area and is related with various applications in many different fields such as 3D character animation, surveillance or human-machine interfaces. A specific problem of these two last applications is the pose and motion estimation of the subject, i.e. understanding which action, among a predefined set, the subject is performing. In this paper, we propose a new high level pose description method based on set of relative body part information, easily understandable by humans, such "above/below" or "between/on each side of". From this pose description, we introduce two kinds of usage: the recognition of a pose described by the user and the detection of poses similar to a set of samples.
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Dates and versions

hal-00733320 , version 1 (18-09-2012)

Identifiers

  • HAL Id : hal-00733320 , version 1

Cite

Benjamin Raynal, Vincent Nozick. Pose Description Based on Natural Relation Sets. International Conference Image and Vision Computing New Z ealand, Nov 2011, New Zealand. pp.399-404. ⟨hal-00733320⟩
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