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What to Expect
ML Motion Estimation improves the linkage of feature points, also known as blips, across frames by leveraging learned motion vectors instead of fixed search regions. It can maintain tracking stability in cases of low contrast, motion blur, or rapid movement, and is particularly consistent on rigid objects with predictable motion. This method processes the entire image to compute motion vectors, which can increase processing time. It may not perform as well on non-rigid objects where shapes deform between frames, and results can vary depending on the nature of the footage.
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