DocumentCode :
1450675
Title :
Robust Online Digital Image Stabilization Based on Point-Feature Trajectory Without Accumulative Global Motion Estimation
Author :
Ryu, Yeon Geol ; Chung, Myung Jin
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
Volume :
19
Issue :
4
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
223
Lastpage :
226
Abstract :
A framework of robust online digital image stabilization based on point-feature trajectory is proposed. The conventional online digital image stabilization approaches, which have to use accumulative global motion with respect to the initial reference frame, might fail in the long run because error accumulation is inevitable with the elapse of time. Instead, the proposed scheme directly estimates the correction motion between unstable input and stabilized output images by exploiting original and smoothed point-feature trajectories without the accumulative global motion. As a result, ours is able to operate for a long time. The experimental results show that the proposed method is able to stabilize unstable video with real-time process for a long time and has good robustness to a variety of conditions.
Keywords :
feature extraction; motion estimation; video signal processing; correction motion estimation; error accumulation; point-feature trajectory; robust online digital image stabilization; stabilized output images; unstable input images; unstable video stabilization; Digital images; Image sequences; Kalman filters; Motion estimation; Robustness; Signal processing algorithms; Trajectory; Adaptive RANSAC algorithm; Kalman filter; digital image stabilization (DIS); point-feature trajectory (PFT);
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2012.2188286
Filename :
6153348
Link To Document :
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