Robust digital image stabilization using the Kalman filter

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

Research output: Contribution to journalArticlepeer-review

92 Citations (Scopus)


In this paper, we present a new digital image stabilization (DIS) algorithm based on feature point tracking. Feature points well tracked by the Kanade-Lucas-Tomasi (KLT) tracker are used to estimate the global motion between two consecutive image frames. The motion prediction with the Kalman filter (KF) is incorporated into the KLT tracker to further speed up the tracking process. Moreover, we develop an adaptive KF to better handle the intentional motion of the camera. In addition, a new scheme is also proposed to detect the scene change and automatically change the reference frame. Experimental simulation shows that the proposed DIS algorithm has the characteristics of high accuracy, good robustness to different irregular conditions.

Original languageEnglish
Pages (from-to)6-14
Number of pages9
JournalIEEE Transactions on Consumer Electronics
Issue number1
Publication statusPublished - 2009

Bibliographical note

Funding Information:
1This research was supported by Seoul Future Contents Convergence (SFCC) Cluster established by Seoul R&BD Program, NSFC under contract 60773200, and NSF of Guangdong under contract 7003722.


  • Adaptive Kalman filter
  • Digital image stabilization (DIS)
  • Feature point tracking
  • KLT tracker
  • Scene change

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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