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Abstract
Marine radar target tracking in atrocious sea conditions is often challenging, as the strong sea clutter makes conventional trackers non-robust in the marine environment, where it is very common. To improve the ability to identify targets from background clutter, the background-aware correlation filter (BACF) of the visual tracker is applied to marine radar target tracking. In addition, the BACF is optimized by adding the motion regularization term and the temporal consistency constraint to avoid tracking drift and stabilize filter variations. The experiment results on X-band Marine radar data demonstrate that the proposed algorithm performs favorably.
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