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...

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Detalles Bibliográficos
Autores principales: Kim, Hanguen, Lee, Sangwon, Lee, Dongsung, Choi, Soonmin, Ju, Jinsun, Myung, Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507703/
https://www.ncbi.nlm.nih.gov/pubmed/26016921
http://dx.doi.org/10.3390/s150612410

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