Video stabilization using Kalman filter and phase correlation matching
- Authors
- Kwon, O; Shin, J; Paik, J
- Issue Date
- Sep-2005
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- IMAGE ANALYSIS AND RECOGNITION, v.3656, pp 141 - 148
- Pages
- 8
- Journal Title
- IMAGE ANALYSIS AND RECOGNITION
- Volume
- 3656
- Start Page
- 141
- End Page
- 148
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40223
- DOI
- 10.1007/11559573_18
- ISSN
- 0302-9743
1611-3349
- Abstract
- A robust digital image stabilization algorithm is proposed using a Kalman filter-based global motion prediction and phase correlation-based motion correction. Global motion is basically estimated by adaptively averaging multiple local motions obtained by phase correlation. The distribution of phase correlation determines a local motion vector, and the global motion is obtained by suitably averaging multiple local motions. By accumulating the global motion at each frame, we can obtain the optimal motion vector that can stabilize the corresponding frame. The proposed algorithm is robust to camera vibration or unwanted movement regardless of object's movement. Experimental results show that the proposed digital image stabilization algorithm can efficiently remove camera jitter and provide continuously stabilized video.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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