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Real-Time Human Pose Estimation and Gesture Recognition from Depth Images Using Superpixels and SVM Classifier
In this paper, we present human pose estimation and gesture recognition algorithms that use only depth information. The proposed methods are designed to be operated with only a CPU (central processing unit), so that the algorithm can be operated on a low-cost platform, such as an embedded board. The...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507703/ https://www.ncbi.nlm.nih.gov/pubmed/26016921 http://dx.doi.org/10.3390/s150612410 |