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Recognition of Human Activities Using Depth Maps and the Viewpoint Feature Histogram Descriptor
In this paper we propose a way of using depth maps transformed into 3D point clouds to classify human activities. The activities are described as time sequences of feature vectors based on the Viewpoint Feature Histogram descriptor (VFH) computed using the Point Cloud Library. Recognition is perform...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285378/ https://www.ncbi.nlm.nih.gov/pubmed/32455931 http://dx.doi.org/10.3390/s20102940 |