Visual Tracking of Self-Occluding Articulated Objects

  title={Visual 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 human-computer interaction, virtual reality, and athletic performance measurement. We describe a framework for local tracking of self-occluding motion, in which parts of the mechanism obstruct each others visibility to the camera. Our approach uses a kinematic model to predict occlusion and windowed templates to track partially occluded objects. We analyze our model of self-occlusion, discuss the implementation… CONTINUE READING