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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Single View Motion Tracking by Depth and Silhouette Information
verfasst von : Daniel Grest, Volker Krüger, Reinhard Koch
Erschienen in: Image Analysis
Verlag: Springer Berlin Heidelberg
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In this work a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device (PMD), which measures the time-of-flight of light. Correspondences between the silhouette of the projected model and the real image are established in a novel way, that can handle cluttered non-static backgrounds. Pose is estimated by Nonlinear Least Squares, which handles the underlying dynamics of the kinematic chain directly. Analytic Jacobians allow pose estimation with 5 FPS.