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Real-time Body Tracking Using a Gaussian Process Latent Variable Model

ICCV, pp.1-8, (2007)

Cited by: 55|Views10
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Abstract

In this paper, we present a tracking framework for capturing articulated human motions in real-time, without the need for attaching markers onto the subject's body. This is achieved by first obtaining a low dimensional representation of the training motion data, using a nonlinear dimensionality reduction technique called back-constrained ...More

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