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A Bayesian Framework for Human Body Pose Tracking from Depth Image Sequences

This paper addresses the problem of accurate and robust tracking of 3D human body pose from depth image sequences. Recovering the large number of degrees of freedom in human body movements from a depth image sequence is challenging due to the need to resolve the depth ambiguity caused by self-occlus...

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Detalles Bibliográficos
Autores principales: Zhu, Youding, Fujimura, Kikuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292173/
https://www.ncbi.nlm.nih.gov/pubmed/22399933
http://dx.doi.org/10.3390/s100505280