A COMPREHENSIVE ANALYSIS OF HUMAN MOTION CAPTURE DATA FOR ACTION RECOGNITION

Valsamis Ntouskos, Panagiotis Papadakis, Fiora Pirri

2012

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 647-652. DOI: 10.5220/0003868806470652


in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={647-652},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003868806470652},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - A COMPREHENSIVE ANALYSIS OF HUMAN MOTION CAPTURE DATA FOR ACTION RECOGNITION
SN - 978-989-8565-03-7
AU - Ntouskos V.
AU - Papadakis P.
AU - Pirri F.
PY - 2012
SP - 647
EP - 652
DO - 10.5220/0003868806470652