Single View Motion Tracking by Depth and Silhouette Information

  • Daniel Grest
  • Volker Krüger
  • Reinhard Koch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4522)

Abstract

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.

Keywords

optical motion capture articulated objects pose estimation cue-integration 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Daniel Grest
    • 1
  • Volker Krüger
    • 1
  • Reinhard Koch
    • 2
  1. 1.Aalborg University Copenhagen, Denmark, Aalborg Media Lab 
  2. 2.Christian-Albrechts-University Kiel, Germany, Multimedia Information Processing 

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