Exploring a rich spatial–temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN

With the fast development of effective and low-cost human skeleton capture systems, skeleton-based action recognition has attracted much attention recently. Most existing methods using Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) have achieved promising performance for skele...

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Veröffentlicht in:	Neurocomputing (Amsterdam) 2020-11, Vol.414, p.90-100
Hauptverfasser:	Zhu, Aichun, Wu, Qianyu, Cui, Ran, Wang, Tian, Hang, Wenlong, Hua, Gang, Snoussi, Hichem
Format:	Artikel
Sprache:	eng
Schlagworte:	Action recognition Dependent relational model Engineering Sciences Signal and Image processing Spatial–temporal information
Online-Zugang:	Volltext
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