Abstract
Video cameras mounted on fixed or moving platforms have been currently utilized for checking construction sites. In case of cameras mounted on flying drones, jitters in captured images are often caused by wind and vibration. To overcome this problem, image stabilization methods based on Kalman filter (KF) have been proposed. However, the KF may exhibit poor performance due to mistuning on the model parameters. This paper proposes a new image stabilization method based on finite impulse response (FIR) filter, which is more robust against mistuning on the model parameters than the KF. The effectiveness and performance of the proposed method is demonstrated by the image stabilization experiments, in which images are captured by the camera mounted on the flying drone.
Original language | English |
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Title of host publication | ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1234-1237 |
Number of pages | 4 |
ISBN (Print) | 9788993215090 |
DOIs | |
Publication status | Published - 2015 Dec 23 |
Event | 15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of Duration: 2015 Oct 13 → 2015 Oct 16 |
Other
Other | 15th International Conference on Control, Automation and Systems, ICCAS 2015 |
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Country/Territory | Korea, Republic of |
City | Busan |
Period | 15/10/13 → 15/10/16 |
Keywords
- construction
- finite impulse response (FIR) filter
- Image stabilization
- Kalman filter
ASJC Scopus subject areas
- Control and Systems Engineering