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

3 Citations (Scopus)


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.
Number of pages4
ISBN (Print)9788993215090
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


Other15th International Conference on Control, Automation and Systems, ICCAS 2015
Country/TerritoryKorea, Republic of


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

ASJC Scopus subject areas

  • Control and Systems Engineering


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