Real-Time tracking system using Single-Constraints-At- A-Time and Unscented Kalman Filter
Student thesis: Master Thesis and HD Thesis
- Gauthier Le Reun
4. term, Vision, Graphics and Interactive Systems, Master (Master Programme)
This master thesis document aims at improving the accuracy of a painting robot system using vision tracking technologies. The current system does not fulfill industrial expectation in terms of accuracy and occlusion robustness.
A solution is proposed using the Unscented Kalman Filter and a Single-Constraint-At-A-Time approach. The system is first entirely described and methods are analyzed. Then, the SCAAT approach and the Unscented Kalman Filter are described.
A solution is proposed using the Unscented Kalman Filter and a Single-Constraint-At-A-Time approach. The system is first entirely described and methods are analyzed. Then, the SCAAT approach and the Unscented Kalman Filter are described.
| Language | English |
|---|---|
| Publication date | 3 Jun 2010 |
| Number of pages | 64 |
| Publishing institution | Aalborg University, Department of Media Technology |