Human Motion Recognition from 3D Pose Information - Trisarea: A New Pose-based Feature

M. Vinagre, J. Aranda, A. Casals

2013

Abstract

The use of pose-based features has demonstrated to be a promising approach for human motion recognition. Encouraged by the results achieved, a new relational pose-based feature, Trisarea, based on geometric relationship between human joints, is proposed and analysed. This feature is defined as the area of the triangle formed by connecting three joints. The paper shows how the variation of a selected set of Trisarea features over time constitutes a descriptor of human motion. It also demonstrates how this motion descriptor based on Trisarea features can provide useful information in terms of human motion for its application to action recognition tasks.

Paper Citation

in Harvard Style

Vinagre M., Aranda J. and Casals A. (2013). Human Motion Recognition from 3D Pose Information - Trisarea: A New Pose-based Feature . In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-71-6, pages 74-82. DOI: 10.5220/0004482800740082

in Bibtex Style

@conference{icinco13,
author={M. Vinagre and J. Aranda and A. Casals},
title={Human Motion Recognition from 3D Pose Information - Trisarea: A New Pose-based Feature},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2013},
pages={74-82},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004482800740082},
isbn={978-989-8565-71-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Human Motion Recognition from 3D Pose Information - Trisarea: A New Pose-based Feature
SN - 978-989-8565-71-6
AU - Vinagre M.
AU - Aranda J.
AU - Casals A.
PY - 2013
SP - 74
EP - 82
DO - 10.5220/0004482800740082