BROWSE
Detail
Conference Paper
Video Stabilization with Reinitialization on Sudden Scene Change
Cited - time in 
Share 
Share
- 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
- 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
- Image sequences, Motion estimation(ME), Optical flow, feature Matching, global motion, scene change, video stabilization