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

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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Bibliographic Details
Main Authors: Youding Zhu, Kikuo Fujimura
Format: Article
Language:English
Published: MDPI AG 2010-05-01
Series:Sensors
Subjects:
human pose tracking
depth images
Bayesian inference
Online Access:http://www.mdpi.com/1424-8220/10/5/5280/

Internet

http://www.mdpi.com/1424-8220/10/5/5280/

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