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Reconstructing 3D Pose and Motion from a Single Camera View

Bowden, R, Mitchell, TA and Sarhadi, M (1998) Reconstructing 3D Pose and Motion from a Single Camera View In: BMVC 1998, 1998-09 - ?, University of Southampton, UK.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Computing
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Bowden, R
Mitchell, TA
Sarhadi, M
Date : September 1998
Copyright Disclaimer : © BMVA 1998
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 27 Oct 2016 15:23
Last Modified : 31 Oct 2017 18:52

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