A Bayesian Dynamical Approach for Human Action Recognition

We introduce a generative Bayesian switching dynamical model for action recognition in 3D skeletal data. Our model encodes highly correlated skeletal data into a few sets of low-dimensional switching temporal processes and from there decodes to the motion data and their associated action labels. We...

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Detalles Bibliográficos
Autores principales: Farnoosh, Amirreza, Wang, Zhouping, Zhu, Shaotong, Ostadabbas, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402468/
https://www.ncbi.nlm.nih.gov/pubmed/34451054
http://dx.doi.org/10.3390/s21165613

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402468/
https://www.ncbi.nlm.nih.gov/pubmed/34451054
http://dx.doi.org/10.3390/s21165613

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