Learning Representations from Spatio-Temporal Distance Maps for 3D Action Recognition with Convolutional Neural Networks
<p>This paper addresses the action recognition problem using skeleton data. In this work, a novel method is proposed, which employs five Distance Maps (DM), named as Spatio-Temporal Distance Maps (ST-DMs), to capture the spatio-temporal information from skeleton data for 3D action recognition....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ediciones Universidad de Salamanca
2020-05-01
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| Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
| Subjects: | |
| Online Access: | https://revistas.usal.es/index.php/2255-2863/article/view/20170 |