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Authors: Valsamis Ntouskos ; Panagiotis Papadakis and Fiora Pirri

Affiliation: University of Rome, Italy

Keyword(s): Action Recognition, Motion Capture Sequences, Manifold Learning, GPLVM.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Embedding and Manifold Learning ; Gaussian Processes ; Pattern Recognition ; Perception ; Theory and Methods

Abstract: In this paper we address the problem of human action recognition within Motion Capture sequences. We introduce a method based on Gaussian Process Latent Variable Models and Alignment Kernels. We build a new discriminative latent variable model with back-constraints induced by the similarity of the original sequences. We compare the proposed method with a standard sequence classification method based on Dynamic Time Warping and with the recently introduced V-GPDS model which is able to model highly dimensional dynamical systems. The proposed methodology exhibits high performance even for datasets that have not been manually preprocessed while it further allows fast inference by exploiting the back constraints.

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Paper citation in several formats:
Ntouskos, V.; Papadakis, P. and Pirri, F. (2013). Discriminative Sequence Back-constrained GP-LVM for MOCAP based Action Recognition. In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-8565-41-9; ISSN 2184-4313, SciTePress, pages 87-96. DOI: 10.5220/0004268600870096

@conference{icpram13,
author={Valsamis Ntouskos. and Panagiotis Papadakis. and Fiora Pirri.},
title={Discriminative Sequence Back-constrained GP-LVM for MOCAP based Action Recognition},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2013},
pages={87-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004268600870096},
isbn={978-989-8565-41-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Discriminative Sequence Back-constrained GP-LVM for MOCAP based Action Recognition
SN - 978-989-8565-41-9
IS - 2184-4313
AU - Ntouskos, V.
AU - Papadakis, P.
AU - Pirri, F.
PY - 2013
SP - 87
EP - 96
DO - 10.5220/0004268600870096
PB - SciTePress