Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/67411
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Type: Conference paper
Title: Multi-view human motion capture with an improved deformation skin model
Author: Lu, Y.
Wang, L.
Hartley, R.
Li, H.
Shen, C.
Citation: Proceedings of International Conference on Digital Image Computing: Techniques and Applications (DICTA'08), 1-3 December, 2008; pp.420-427
Publisher: IEEE
Publisher Place: Online
Issue Date: 2008
ISBN: 9780769534565
Conference Name: International Conference on Digital Image Computing - Techniques and Applications (DICTA'08) (2008 : Canberra, ACT, Australia)
Statement of
Responsibility: 
Yifan Lu, Lei Wang, Hartley, R., Hongdong Li and Chunhua Shen
Abstract: Markerless human motion capture has received much attention in computer vision and computer graphics communities. A hierarchical skeleton template is frequently used to model the human body in literature, because it simplifies markerless human motion capture as a problem of estimating the human body shape and joint angle parameters. The proposed work establishes a skeleton based markerless human motion capture framework, comprising of (1) an improved deformation skin model suitable for markerless motion capture while it is compliant with the computer animation standard, (2) image segmentation by using Gaussian mixture static background subtraction and (3) nonlinear dynamic temporal tracking with annealed particle filter. This framework is able to efficiently represent markerless human motion capture as an optimisation problem in the temporal domain and solve it by the classic optimisation scheme. Several experiments are used to illustrate its robustness and accuracy comparing with the existing approach.
Rights: © Copyright 2011 IEEE – All Rights Reserved
RMID: 0020112862
DOI: 10.1109/DICTA.2008.14
Appears in Collections:Computer Science publications

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