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2013 17th International Conference on Information Visualisation (2007)
Zurich, Switzerland
July 4, 2007 to July 6, 2007
ISSN: 1550-6037
ISBN: 0-7695-2900-3
pp: 871-877
Rongjie Shi , Fudan University
Wenbin Chen , Fudan University
I-fan Shen , Fudan University
Rong Hu , Fudan University
Video Stabilization is one of those important video processing techniques to remove the unwanted camera vibration in a video sequence. In this paper, we present a practical method to remove the annoying shaky motion and reconstruct a stabilized video sequence with good visual quality. Here, the scale invariant(SIFT) features, proved to be invariant to image scale and rotation, is applied to estimate the camera motion. The unwanted vibrations are separated from the intentional camera motion with the combination of Gaussian kernel filtering and parabolic fitting. It is demonstrated that our method effectively removes the high frequency ?noise? motion, but also minimize the missing area as much as possible. To reconstruct the undefined areas, resulting from motion compensation, we adopt the mosaicing method with Dynamic Programming . The proposed method has been confirmed to be effective over a widely variety of videos.
Rongjie Shi, Wenbin Chen, I-fan Shen, Rong Hu, "Video Stabilization Using Scale-Invariant Features", 2013 17th International Conference on Information Visualisation, vol. 00, no. , pp. 871-877, 2007, doi:10.1109/IV.2007.119
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