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Authors: Valsamis Ntouskos ; Panagiotis Papadakis and Fiora Pirri

Affiliation: University of Rome ”La Sapienza”, Italy

Keyword(s): Motion Analysis, Motion Capture, Action Recognition.

Related Ontology Subjects/Areas/Topics: Applications ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: In this paper, we present an analysis of human motion that can assist the recognition of human actions irrespective of the selection of particular features. We begin with an analysis on the entire set of preclassified motions in order to derive the generic characteristics of articulated human motion and complement the analysis by a more detailed inter-class analysis. The statistical analysis concerns features that describe the significancecontribution of the human joints in performing an action. Furthermore, we adopt a hierarchical analysis on the human body itself in the study of different actions, by grouping joints that share common characteristics. We present our experiments on standard databases for human motion capture data as well as a new commercial dataset with additional classes of human motion and highlight certain interesting results.

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Paper citation in several formats:
Ntouskos, V.; Papadakis, P. and Pirri, F. (2012). A COMPREHENSIVE ANALYSIS OF HUMAN MOTION CAPTURE DATA FOR ACTION RECOGNITION. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 647-652. DOI: 10.5220/0003868806470652

@conference{visapp12,
author={Valsamis Ntouskos. and Panagiotis Papadakis. and Fiora Pirri.},
title={A COMPREHENSIVE ANALYSIS OF HUMAN MOTION CAPTURE DATA FOR ACTION RECOGNITION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={647-652},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003868806470652},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - A COMPREHENSIVE ANALYSIS OF HUMAN MOTION CAPTURE DATA FOR ACTION RECOGNITION
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Ntouskos, V.
AU - Papadakis, P.
AU - Pirri, F.
PY - 2012
SP - 647
EP - 652
DO - 10.5220/0003868806470652
PB - SciTePress