NDLI: A markerless motion capture system with automatic subject-specific body model acquisition and robust pose tracking from 3D data

Content Provider	IEEE Xplore Digital Library
Author	Zheng Zhang Hock Soon Seah Chee Kwang Quah Jixiang Sun
Copyright Year	2011
Description	Author affiliation: Nanyang Technological University, Institute for Media Innovation, Singapore (Chee Kwang Quah) \|\| NUDT, School of Electronic Science and Engineering, China (Jixiang Sun) \|\| Nanyang Technological University, School of Computer Engineering, Singapore (Zheng Zhang; Hock Soon Seah)
Abstract	We present a markerless system for recovering 3D full-body motion from multiple image sequences. Our approach supports robust pose tracking from 3D data as well as automatic body model acquisition. For initialization, a subject-specific voxel body model that fits well to the shape of the subject being tracked is automatically created from the beginning volume. Then for pose recovery, the voxel body model is matched to the image features via a hierarchical pose search method. We use a new particle based stochastic search algorithm and introduce a robust metric, which is incorporated with joint limits, physical constraints and fuses multiple 3D cues involving volume spatial and 3D scene flow motion information. Results on several complex multiple sequences show the robustness and effectiveness of our approach.
Starting Page	525
Ending Page	528
File Size	380874
Page Count	4
File Format	PDF
ISBN	9781457713040
ISSN	15224880
e-ISBN	9781457713033
e-ISBN	9781457713026
DOI	10.1109/ICIP.2011.6116397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-11
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three dimensional displays Tracking Computational modeling Robustness Solid modeling Cameras Joints Scene Flow Model Acquistion Pose Tracking Volumetric Reconstruction
Content Type	Text
Resource Type	Article

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