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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Bibliografiska uppgifter
Huvudupphovsmän: Sarah Khater, Mayada Hadhoud, Magda B. Fayek
Materialtyp: Artigo
Språk:Inglês
Publicerad: SpringerOpen 2022-05-01
Serie:Journal of Engineering and Applied Science
Ämnen:
HAR
Residual
Inception
ConvLSTM
KTH
Länkar:https://doi.org/10.1186/s44147-022-00098-0
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