Spatio–Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks

Spatio–Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks

Designing motion representations for 3D human action recognition from skeleton sequences is an important yet challenging task. An effective representation should be robust to noise, invariant to viewpoint changes and result in a good performance with low-computational demand. Two main challenges in...

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Bibliographic Details
Main Authors: Huy Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
3D human action recognition
skeleton-based representation
SPMF
Enhanced-SPMF
AHE
D-CNNs
DenseNet
Online Access:https://www.mdpi.com/1424-8220/19/8/1932

Internet

https://www.mdpi.com/1424-8220/19/8/1932

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