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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
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.
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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