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Pose Description Based on Natural Relation Sets

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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https://hal-upec-upem.archives-ouvertes.fr/hal-00733320
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Submitted on : Tuesday, September 18, 2012 - 4:23:23 PM
Last modification on : Wednesday, February 26, 2020 - 7:06:06 PM
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  • HAL Id : hal-00733320, version 1

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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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