Robust Online Digital Image Stabilization Based on Point-Feature Trajectory Without Accumulative Global Motion Estimation

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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.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2012-04
Language
English
Article Type
Article
Citation

IEEE SIGNAL PROCESSING LETTERS, v.19, no.4, pp.223 - 226

ISSN
1070-9908
DOI
10.1109/LSP.2012.2188286
URI
http://hdl.handle.net/10203/93700
Appears in Collection
EE-Journal Papers(저널논문)
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