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Exploiting structural hierarchy in articulated objects towards robust motion capture

Author
Canton, C.; Casas, J.; Pardas, M.
Type of activity
Presentation of work at congresses
Name of edition
V Conference on Articulated Motion and Deformable Objects (AMDO)
Date of publication
2008
Presentation's date
2008-07
Book of congress proceedings
Articulated Motion and Deformable Objects
First page
82
Last page
91
DOI
https://doi.org/10.1007/978-3-540-70517-8_9 Open in new window
URL
http://link.springer.com/chapter/10.1007%2F978-3-540-70517-8_9 Open in new window
Abstract
This paper presents a general analysis framework towards exploiting the underlying hierarchical and scalable structure of an articulated object for pose estimation and tracking. The Scalable Human Body Model (SHBM) is presented as a set of human body models ordered following a hierarchy criteria. The concept of annealing is applied to derive a generic particle filtering scheme able to perform a sequential filtering over the models contained in the SHBM leading to a structural annealing process. ...
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants