Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download
Contributor : Vincent Nozick Connect in order to contact the contributor
Submitted on : Tuesday, September 18, 2012 - 4:23:23 PM
Last modification on : Saturday, January 15, 2022 - 3:57:42 AM
Long-term archiving on: : Friday, December 16, 2016 - 2:30:29 PM


Files produced by the author(s)


  • HAL Id : hal-00733320, version 1


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⟩



Record views


Files downloads