I. Vernikos, E. Mathe, A. Papadakis, E. Spyrou, Ph. Mylonas |
An Image Representation of Skeletal Data for Action Recognition using Convolutional Neural Networks |
PErvasive Technologies Related to Assistive Environments (PETRA 2019), June 2019, Rhodes, Greece |
ABSTRACT
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In this paper we present preliminary results of an approach for understanding human actions, based on a novel 2D image representation for 3D skeletal data. More specifically, motion information for human skeletal joints is transformed to a pseudo-colored image. A Convolutional Neural Network is then used for classification. Our approach is evaluated for actions that may be used in an ambient assisted living scenario.
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05 June , 2019 |
I. Vernikos, E. Mathe, A. Papadakis, E. Spyrou, Ph. Mylonas, "An Image Representation of Skeletal Data for Action Recognition using Convolutional Neural Networks", PErvasive Technologies Related to Assistive Environments (PETRA 2019), June 2019, Rhodes, Greece |
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