ML Anthology

3D Ground-Truth Systems for Object/Human Recognition and Tracking

Afzal Godil, Roger Bostelman, Kamel S. Saidi, William P. Shackleford, Geraldine S. Cheok, Michael Shneier, Tsai Hong
CVPRW 2013 pp. 719-726
doi:10.1109/CVPRW.2013.109 /cvprw/2013/godil2013cvprw-3d/

Abstract

We have been researching three dimensional (3D) ground-truth systems for performance evaluation of vision and perception systems in the fields of smart manufacturing and robot safety. In this paper we first present an overview of different systems that have been used to provide ground-truth (GT) measurements and then we discuss the advantages of physically-sensed ground-truth systems for our applications. Then we discuss in detail the three ground- truth systems that we have used in our experiments: ultra wide-band, indoor GPS, and a camera-based motion capture system. Finally, we discuss three different perception-evaluation experiments where we have used these GT systems.

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Cite

Text

Godil et al. "3D Ground-Truth Systems for Object/Human Recognition and Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013. doi:10.1109/CVPRW.2013.109

Markdown

[Godil et al. "3D Ground-Truth Systems for Object/Human Recognition and Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013.](https://mlanthology.org/cvprw/2013/godil2013cvprw-3d/) doi:10.1109/CVPRW.2013.109

BibTeX

@inproceedings{godil2013cvprw-3d,
  title     = {{3D Ground-Truth Systems for Object/Human Recognition and Tracking}},
  author    = {Godil, Afzal and Bostelman, Roger and Saidi, Kamel S. and Shackleford, William P. and Cheok, Geraldine S. and Shneier, Michael and Hong, Tsai},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2013},
  pages     = {719-726},
  doi       = {10.1109/CVPRW.2013.109},
  url       = {https://mlanthology.org/cvprw/2013/godil2013cvprw-3d/}
}