Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Robust Digital Image Stabilization Using the Kalman Filter

Authors
Wang, ChuntaoKim, Jin-HyungByun, Keun-YungNi, JiangqunKo, 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
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE