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A novel human activity recognition architecture: using residual inception ConvLSTM layer
Abstract Human activity recognition (HAR) is a very challenging problem that requires identifying an activity performed by a single individual or a group of people observed from spatiotemporal data. Many computer vision applications require a solution to HAR. To name a few, surveillance systems, med...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2022-05-01
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| Serie: | Journal of Engineering and Applied Science |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s44147-022-00098-0 |
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