Computer-Aided Depth Video Stream Masking Framework for Human Body Segmentation in Depth Sensor Images

The identification of human activities from videos is important for many applications. For such a task, three-dimensional (3D) depth images or image sequences (videos) can be used, which represent the positioning information of the objects in a 3D scene obtained from depth sensors. This paper presen...

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Detalles Bibliográficos
Autores principales: Ryselis, Karolis, Blažauskas, Tomas, Damaševičius, Robertas, Maskeliūnas, Rytis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102319/
https://www.ncbi.nlm.nih.gov/pubmed/35591221
http://dx.doi.org/10.3390/s22093531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102319/
https://www.ncbi.nlm.nih.gov/pubmed/35591221
http://dx.doi.org/10.3390/s22093531

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