ML Anthology

Model-Based Tracking of Self-Occluding Articulated Objects

James M. Rehg, Takeo Kanade
ICCV 1995 pp. 612-617
doi:10.1109/ICCV.1995.466882 /iccv/1995/rehg1995iccv-model/

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Text

Rehg and Kanade. "Model-Based Tracking of Self-Occluding Articulated Objects." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466882

Markdown

[Rehg and Kanade. "Model-Based Tracking of Self-Occluding Articulated Objects." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/rehg1995iccv-model/) doi:10.1109/ICCV.1995.466882

BibTeX

@inproceedings{rehg1995iccv-model,
  title     = {{Model-Based Tracking of Self-Occluding Articulated Objects}},
  author    = {Rehg, James M. and Kanade, Takeo},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1995},
  pages     = {612-617},
  doi       = {10.1109/ICCV.1995.466882},
  url       = {https://mlanthology.org/iccv/1995/rehg1995iccv-model/}
}