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Conference Paper Video Stabilization with Reinitialization on Sudden Scene Change
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Authors
Sung Lok Choi, Won Pil Yu
Issue Date
2009-10
Citation
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2009, pp.1-3
Publisher
IEEE
Language
English
Type
Conference Paper
Project Code
09MC3200, Hybrid u-Robot Service System Technology Development for u-City, Wonpil Yu
Abstract
The core step of video stabilization is to estimate global motion from locally extracted motion clues. Optical flow and feature matching have been utilized as local motion clues between adjacent image sequence. However, sudden scene change causes the motion clues totally wrong, which entails wrong global motion. Adaptive RANSAC, authors' previous work, is applied to solve this problem with reinitialization. The proposed method resets its states when motion estimation is difficult. The difficulty is quantified as the ratio of probably correct motion clues among overall clues. An experiment using real image sequence verifies effectiveness of the proposed method.
KSP Keywords
Feature matching, Image sequence, Motion estimation(ME), Optical Flow, Video Stabilization, global motion, scene change