The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Computer sensing of hand and limb motion is an important problem for applications in human computer interaction and computer graphics. We describe a framework for local trading 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 offline 3D tracking results for hand motion with significant self occlusion.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference

Jim Rehg and Takeo Kanade, "Model-Based Tracking of Self-Occluding Articulated Objects," Proceedings of the Fifth International Conference on Computer Vision (ICCV '95), June, 1995, pp. 612-617.

BibTeX Reference

@inproceedings{Rehg_1995_1762,
   author = "Jim Rehg and Takeo Kanade",
   title = "Model-Based Tracking of Self-Occluding Articulated Objects",
   booktitle = "Proceedings of the Fifth International Conference on Computer Vision (ICCV '95)",
   pages = "612-617",
   month = "June",
   year = "1995",
}

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