Evaluation of human body tracking system for gesture-based programming of industrial robots
Høilund, Carsten ; Krüger, Volker LU
and Moeslund, Thomas B.
(2012)
2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
p.477-480
- Abstract
Is low-cost tracking precise enough for recognition of pointing actions? We investigate the quality of the human body tracking available with a Kinect camera by comparing it to a state-of-the-art motion capture system. The application is action recognition with parametric hidden Markov Models (PHMMs) for programming industrial robots. The data from the Kinect is overall more noisy and potentially requires calibration. In conclusion, though, we believe the quality will be sufficient for use with PHMMs.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3448fc0b-82d4-4eb0-ad6a-91d6678dcb9c
- author
- Høilund, Carsten
; Krüger, Volker
LU
and Moeslund, Thomas B.
- publishing date
- 2012-12-01
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- host publication
- Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
- article number
- 6360775
- pages
- 4 pages
- conference name
- 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012
- conference location
- Singapore, Singapore
- conference dates
- 2012-07-18 - 2012-07-20
- external identifiers
-
- scopus:84871675518
- ISBN
- 9781457721175
- DOI
- 10.1109/ICIEA.2012.6360775
- language
- English
- LU publication?
- no
- id
- 3448fc0b-82d4-4eb0-ad6a-91d6678dcb9c
- date added to LUP
- 2019-06-28 09:20:08
- date last changed
- 2022-01-31 22:45:08
@inproceedings{3448fc0b-82d4-4eb0-ad6a-91d6678dcb9c,
abstract = {{<p>Is low-cost tracking precise enough for recognition of pointing actions? We investigate the quality of the human body tracking available with a Kinect camera by comparing it to a state-of-the-art motion capture system. The application is action recognition with parametric hidden Markov Models (PHMMs) for programming industrial robots. The data from the Kinect is overall more noisy and potentially requires calibration. In conclusion, though, we believe the quality will be sufficient for use with PHMMs.</p>}},
author = {{Høilund, Carsten and Krüger, Volker and Moeslund, Thomas B.}},
booktitle = {{Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012}},
isbn = {{9781457721175}},
language = {{eng}},
month = {{12}},
pages = {{477--480}},
title = {{Evaluation of human body tracking system for gesture-based programming of industrial robots}},
url = {{http://dx.doi.org/10.1109/ICIEA.2012.6360775}},
doi = {{10.1109/ICIEA.2012.6360775}},
year = {{2012}},
}