A new stabilization algorithm to counterbalance the shaking motion in a video based on classical Kandade-Lucas-
Tomasi (KLT) method is presented in this paper. Feature points are evaluated with law of large numbers and clustering
algorithm to reduce the side effect of moving foreground. Analysis on the change of motion direction is also carried out
to detect the existence of shaking. For video clips with detected shaking, an affine transformation is performed to warp
the current frame to the reference one. In addition, the missing content of a frame during the stabilization is completed
with optical flow analysis and mosaicking operation. Experiments on video clips demonstrate the effectiveness of the
proposed algorithm.
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