Image stabilization using FIR filters

Richard Y. Park, Jung Min Pak, Choon Ki Ahn, Myo Taeg Lim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1234-1237
Number of pages4
ISBN (Print)9788993215090
DOIs
Publication statusPublished - 2015 Dec 23
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 2015 Oct 132015 Oct 16

Other

Other15th International Conference on Control, Automation and Systems, ICCAS 2015
CountryKorea, Republic of
CityBusan
Period15/10/1315/10/16

Fingerprint

FIR filters
Kalman filters
Stabilization
Cameras
Video cameras
Jitter
Experiments
Drones

Keywords

  • construction
  • finite impulse response (FIR) filter
  • Image stabilization
  • Kalman filter

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Park, R. Y., Pak, J. M., Ahn, C. K., & Lim, M. T. (2015). Image stabilization using FIR filters. In ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings (pp. 1234-1237). [7364819] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAS.2015.7364819

Image stabilization using FIR filters. / Park, Richard Y.; Pak, Jung Min; Ahn, Choon Ki; Lim, Myo Taeg.

ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1234-1237 7364819.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Park, RY, Pak, JM, Ahn, CK & Lim, MT 2015, Image stabilization using FIR filters. in ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings., 7364819, Institute of Electrical and Electronics Engineers Inc., pp. 1234-1237, 15th International Conference on Control, Automation and Systems, ICCAS 2015, Busan, Korea, Republic of, 15/10/13. https://doi.org/10.1109/ICCAS.2015.7364819
Park RY, Pak JM, Ahn CK, Lim MT. Image stabilization using FIR filters. In ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1234-1237. 7364819 https://doi.org/10.1109/ICCAS.2015.7364819
Park, Richard Y. ; Pak, Jung Min ; Ahn, Choon Ki ; Lim, Myo Taeg. / Image stabilization using FIR filters. ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1234-1237
@inproceedings{14c4280472534bb48e4b2d5b88241dca,
title = "Image stabilization using FIR filters",
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.",
keywords = "construction, finite impulse response (FIR) filter, Image stabilization, Kalman filter",
author = "Park, {Richard Y.} and Pak, {Jung Min} and Ahn, {Choon Ki} and Lim, {Myo Taeg}",
year = "2015",
month = "12",
day = "23",
doi = "10.1109/ICCAS.2015.7364819",
language = "English",
isbn = "9788993215090",
pages = "1234--1237",
booktitle = "ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Image stabilization using FIR filters

AU - Park, Richard Y.

AU - Pak, Jung Min

AU - Ahn, Choon Ki

AU - Lim, Myo Taeg

PY - 2015/12/23

Y1 - 2015/12/23

N2 - 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.

AB - 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.

KW - construction

KW - finite impulse response (FIR) filter

KW - Image stabilization

KW - Kalman filter

UR - http://www.scopus.com/inward/record.url?scp=84966351837&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84966351837&partnerID=8YFLogxK

U2 - 10.1109/ICCAS.2015.7364819

DO - 10.1109/ICCAS.2015.7364819

M3 - Conference contribution

AN - SCOPUS:84966351837

SN - 9788993215090

SP - 1234

EP - 1237

BT - ICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -