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.

Discriminative sequence back-constrained GP-LVM for MOCAP based action recognition / Ntouskos, Valsamis; Papadakis, Panagiotis; PIRRI ARDIZZONE, Maria Fiora. - STAMPA. - (2013), pp. 87-96. (Intervento presentato al convegno 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013 tenutosi a Barcelona, Spain nel 15 February 2013 through 18 February 2013) [10.5220/0004268600870096].

Discriminative sequence back-constrained GP-LVM for MOCAP based action recognition

NTOUSKOS, VALSAMIS;PAPADAKIS, PANAGIOTIS;PIRRI ARDIZZONE, Maria Fiora
2013

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.
2013
2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013
action recognition; gplvm; manifold learning; motion capture; motion capture sequences
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Discriminative sequence back-constrained GP-LVM for MOCAP based action recognition / Ntouskos, Valsamis; Papadakis, Panagiotis; PIRRI ARDIZZONE, Maria Fiora. - STAMPA. - (2013), pp. 87-96. (Intervento presentato al convegno 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013 tenutosi a Barcelona, Spain nel 15 February 2013 through 18 February 2013) [10.5220/0004268600870096].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/539119
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