Robust Digital Image Stabilization Using the Kalman Filter
- Authors
- Wang, Chuntao; Kim, Jin-Hyung; Byun, Keun-Yung; Ni, Jiangqun; Ko, Sung-Jea
- Issue Date
- Feb-2009
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Digital image stabilization (DIS); adaptive Kalman filter; feature point tracking; scene change; KLT tracker
- Citation
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.55, no.1, pp.6 - 14
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
- Volume
- 55
- Number
- 1
- Start Page
- 6
- End Page
- 14
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/120605
- DOI
- 10.1109/TCE.2009.4814407
- ISSN
- 0098-3063
- Abstract
- 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
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Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
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