Model-Based Tracking of Self-Occluding Articulated Objects

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.

• Type: Conference
• Year: 1995
• Where: ICCV
• Authors: James M. Rehg, Takeo Kanade
• Keywords: -line 3D Tracking, Computer Vision, ICCV 1995, Limb Motion, Self-occluding Motion