Reconstructing 3D Pose and Motion from a Single
Camera View
R. Bowden, T. A. Mitchell, M. Sarhadi
Brunel University
Uxbridge
Middlesex UB8 3PH UK
Contact: Richard.Bowden@brunel.ac.uk
Abstract
This paper presents a model based approach to human body tracking in which the 2D
silhouette of a moving human and the corresponding 3D skeletal structure are encapsulated
within a non-linear Point Distribution Model. This statistical model allows a direct
mapping to be achieved between the external boundary of a human and the anatomical
position. It is shown how this information, along with the position of landmark features
such as the hands and head can be used to reconstruct information about the pose and
structure of the human body from a monoscopic view of a scene.
Keywords: Human Body Tracking, Point Distribution Model, Statistical Model, Pose
Reconstruction
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Paper presented at BMVC98