Real-Time 3D Body Pose Tracking from Multiple 2D Images

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Real-Time 3D Body Pose Tracking from Multiple 2D Images
We present a human body motion tracking system for an interactive virtual simulation training environment. This system captures images using IR illumination and near-IR cameras to overcome limitations of a dimly lit environment. Features, such as silhouettes and medial axis of blobs are extracted from the images which lack much internal texture. We use a combination of a 2D ICP and particle filtering method to estimate the articulated body configuration of a trainee from image features. The method allows articulation of the arms at elbows and shoulders and of the body at the waist; this is a considerable improvement over previous such methods. Our system works in real-time and is robust to temporary errors in image acquisition or tracking. The system serves as part of a multi-modal user-input device for interactive simulation.
Chi-Wei Chu, Ramakant Nevatia
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where AMDO
Authors Chi-Wei Chu, Ramakant Nevatia
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