Estimating Human Actions Affinities Across Views

Nicoletta Noceti, Alessandra Sciutti, Francesco Rea, Francesca Odone, Giulio Sandini

2015

Abstract

This paper deals with the problem of estimating the affinity level between different types of human actions observed from different viewpoints. We analyse simple repetitive upper body human actions with the goal of producing a view-invariant model from simple motion cues, that have been inspired by studies on the human perception. We adopt a simple descriptor that summarizes the evolution of spatio-temporal curvature of the trajectories, which we use for evaluating the similarity between actions pair on a multi-level matching. We experimentally verified the presence of semantic connections between actions across views, inferring a relations graph that shows such affinities.

Paper Citation

in Harvard Style

Noceti N., Sciutti A., Rea F., Odone F. and Sandini G. (2015). Estimating Human Actions Affinities Across Views . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 130-137. DOI: 10.5220/0005307801300137

in Bibtex Style

@conference{visapp15,
author={Nicoletta Noceti and Alessandra Sciutti and Francesco Rea and Francesca Odone and Giulio Sandini},
title={Estimating Human Actions Affinities Across Views},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005307801300137},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Estimating Human Actions Affinities Across Views
SN - 978-989-758-090-1
AU - Noceti N.
AU - Sciutti A.
AU - Rea F.
AU - Odone F.
AU - Sandini G.
PY - 2015
SP - 130
EP - 137
DO - 10.5220/0005307801300137