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Authors: Nicoletta Noceti 1 ; Alessandra Sciutti 2 ; Francesco Rea 2 ; Francesca Odone 1 and Giulio Sandini 2

Affiliations: 1 Università di Genova, Italy ; 2 Istituto Italiano di Tecnologia, Italy

Keyword(s): Human Actions Understanding, View-invariant Representation, Trajectory Curvature.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Enterprise Information Systems ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis

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.

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Paper citation in several formats:
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 (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 130-137. DOI: 10.5220/0005307801300137

@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 (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005307801300137},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Estimating Human Actions Affinities Across Views
SN - 978-989-758-090-1
IS - 2184-4321
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
PB - SciTePress

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