Model-Based Tracking of Self-Occluding Articulated Objects

  title={Model-Based Tracking of Self-Occluding Articulated Objects},
  author={James M. Rehg and Takeo Kanade},
Computer sensing of hand and limb motion is an important problem for applications in humancomputer interaction and computer graphics. We describe a framework for local tracking of self-occluding motion, in which one part of an object obstructs the visibility of another. Our approach uses a kinematic model to predict occlusions and windowed templates to track partially occluded objects. We present o -line 3D tracking results for hand motion with signi cant self-occlusion. 
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