Human Action Recognition of Spatiotemporal Parameters for Skeleton Sequences Using MTLN Feature Learning Framework
Human action recognition (HAR) by skeleton data is considered a potential research aspect in computer vision. Three-dimensional HAR with skeleton data has been used commonly because of its effective and efficient results. Several models have been developed for learning spatiotemporal parameters from...
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Autores principales: | Faisal Mehmood, Enqing Chen, Muhammad Azeem Akbar, Abeer Abdulaziz Alsanad |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
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Acceso en línea: | https://doaj.org/article/ef9865d76f654905b711d50b6b7c2dd9 |
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