Spatio–Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks †

Designing motion representations for 3D human action recognition from skeleton sequences is an important yet challenging task. An effective representation should be robust to noise, invariant to viewpoint changes and result in a good performance with low-computational demand. Two main challenges in...

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Detalles Bibliográficos
Autores principales: Pham, Huy Hieu, Salmane, Houssam, Khoudour, Louahdi, Crouzil, Alain, Zegers, Pablo, Velastin, Sergio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514994/
https://www.ncbi.nlm.nih.gov/pubmed/31022945
http://dx.doi.org/10.3390/s19081932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514994/
https://www.ncbi.nlm.nih.gov/pubmed/31022945
http://dx.doi.org/10.3390/s19081932

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