Model-Based Hand Tracking Using A Hierarchical Bayesian Filter

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Model-Based Hand Tracking Using A Hierarchical Bayesian Filter (2004)

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by Björn Dietmar Rafael Stenger

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BibTeX

@MISC{Stenger04model-basedhand,
    author = {Björn Dietmar Rafael Stenger},
    title = {Model-Based Hand Tracking Using A Hierarchical Bayesian Filter},
    year = {2004}
}

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Abstract

This thesis focuses on the automatic recovery of three-dimensional hand motion from one or more views. A 3D geometric hand model is constructed from truncated cones, cylinders and ellipsoids and is used to generate contours, which can be compared with edge contours and skin colour in images. The hand tracking problem is formulated as state estimation, where the model parameters define the internal state, which is to be estimated from image observations. In thew first

Keyphrases

hierarchical bayesian filter model-based hand tracking internal state image observation state estimation edge contour automatic recovery three-dimensional hand motion model parameter geometric hand model

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