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.
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA) |
| Number of pages | 4 |
| Place of Publication | Singapore |
| Publisher | IEEE |
| Publication date | Jul 2012 |
| Pages | 477-480 |
| ISBN (Electronic) | 978-1-4577-2117-5 |
| DOIs | |
| Publication status | Published - Jul 2012 |
| Event | 7th IEEE Conference on Industrial Electronics and Applications : ICIEA 2012 - , Singapore Duration: 18 Jul 2012 → 20 Jul 2012 |
Conference
| Conference | 7th IEEE Conference on Industrial Electronics and Applications |
|---|---|
| Country/Territory | Singapore |
| Period | 18/07/2012 → 20/07/2012 |