Human Action Recognition of Spatiotemporal Parameters for Skeleton Sequences Using MTLN Feature Lear...
Human Action Recognition of Spatiotemporal Parameters for Skeleton Sequences Using MTLN Feature Learning Framework
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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 skeleton sequences. However, two critical problem...
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Human Action Recognition of Spatiotemporal Parameters for Skeleton Sequences Using MTLN Feature Learning Framework
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TN_cdi_proquest_journals_2596010768
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2596010768
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics10212708
