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A new relational geometric feature for human action recognition

Author
Vinagre, M.; Aranda, J.; Casals, A.
Type of activity
Book chapter
Book
Informatics in Control, Automation and Robotics: 10th International Conference, ICINCO 2013: Reykjavík, Iceland, July 29-31, 2013: revised selected papers
First page
263
Last page
278
Publisher
Springer
Date of publication
2015
ISBN
978-3-319-10890-2 Open in new window
DOI
https://doi.org/10.1007/978-3-319-10891-9_15 Open in new window
Repository
http://hdl.handle.net/2117/28303 Open in new window
URL
https://link.springer.com/book/10.1007/978-3-319-10891-9 Open in new window
Abstract
Pose-based features have demonstrated to outperform low-levelappearance features in human action recognition. New RGB-D cameras provide locations of human joints with which geometric correspondences can be easily calculated. In this article, a new geometric correspondence between joints called Trisarea feature is presented. It is defined as the area of the triangle formed by three joints. Relevant triangles describing human pose are identified and it is shown how the variation over time of the s...
Citation
Vinagre, M.; Aranda, J.; Casals, A. A new relational geometric feature for human action recognition. "Lecture notes in electrical engineering", Gener 2015, vol. 325, p. 263-278.
Keywords
Action descriptor, Action recognition, Pose-based feature
Group of research
CREB - Biomedical Engineering Research Centre
GRINS - Intelligent Robots and Systems

Participants