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Authors: Binu M. Nair and Vijayan K. Asari

Affiliation: University of Dayton, United States

Keyword(s): Spacetime shape, Radon transform, Distance transform, Shape descriptor.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Shape Analysis ; Surface Geometry and Shape

Abstract: A novel algorithm has been proposed for recognizing human actions using a combination of shape descriptors. Every human action is considered as a 3D space time shape and the shape descriptors based on the 3D Euclidean distance transform and the Radon transform are used for its representation. The Euclidean distance transform gives a suitable internal representation where the interior values correspond to the action performed. By taking the gradient of this distance transform, the space time shape is divided into different number of levels with each level representating a coarser version of the original space time shape. Then, at each level and at each frame, the Radon transform is applied from where action features are extracted. The action features are the R-Transform feature set which gives the posture variations of the human body with respect to time and the R-Translation vector set which gives the translatory variation. The combination of these action features is used in a neares t neighbour classifier for action recognition. (More)

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Paper citation in several formats:
M. Nair, B. and K. Asari, V. (2011). ACTION RECOGNITION BASED ON MULTI-LEVEL REPRESENTATION OF 3D SHAPE. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP; ISBN 978-989-8425-47-8; ISSN 2184-4321, SciTePress, pages 378-386. DOI: 10.5220/0003376303780386

@conference{visapp11,
author={Binu {M. Nair}. and Vijayan {K. Asari}.},
title={ACTION RECOGNITION BASED ON MULTI-LEVEL REPRESENTATION OF 3D SHAPE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP},
year={2011},
pages={378-386},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003376303780386},
isbn={978-989-8425-47-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2011) - VISAPP
TI - ACTION RECOGNITION BASED ON MULTI-LEVEL REPRESENTATION OF 3D SHAPE
SN - 978-989-8425-47-8
IS - 2184-4321
AU - M. Nair, B.
AU - K. Asari, V.
PY - 2011
SP - 378
EP - 386
DO - 10.5220/0003376303780386
PB - SciTePress

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