Chengzhou Tang

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Video stabilization enhances video quality by stabilizing unstable motion. This paper proposes a new video stabilization method that simultaneously factors and smooths motion tra-jectories. We model the trajectories with a time-variant local subspace constraint. Every column of the trajectory matrix is factored and smoothed in separate local subspace. This(More)
This paper presents a new method for calculating the low-rank approximation of a highly incomplete trajectory matrix for subspace video stabilization. We extend moving factorization proposed in [1], which is a streamable method based on least squares. By utilizing sparse representation of trajectories, the proposed factorization method is more accurate(More)
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