Robust digital image stabilization using feature tracking

Chuntao Wang, Jin Hyung Kim, Keun Yung Byun, Sung-Jea Ko

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

3 Citations (Scopus)

Abstract

This paper presents a new robust digital image stabilization (DIS) algorithm which uses well-tracked feature points to estimate the motion between two consecutive frames. The motion prediction with the Kalman filter is incorporated into the Kanade-Lucas-Tomasi (KLT) tracker to further speed up the tracking process. A new scheme is proposed to adaptively update the Kalman filter. Simulation results show that the proposed algorithm can speed up the tracking process and obtain more stabilized performance.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
DOIs
Publication statusPublished - 2009 Sep 25
Event2009 International Conference on Consumer Electronics, ICCE 2009 - Las Vegas, NV, United States
Duration: 2009 Jan 102009 Jan 14

Other

Other2009 International Conference on Consumer Electronics, ICCE 2009
CountryUnited States
CityLas Vegas, NV
Period09/1/1009/1/14

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Wang, C., Kim, J. H., Byun, K. Y., & Ko, S-J. (2009). Robust digital image stabilization using feature tracking. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics [5012257] https://doi.org/10.1109/ICCE.2009.5012257