Advantages of Kalman filter over other filters for target tracking
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Im aware of the use of probabilistic data association filters, Kalman filters and particle filters etc for tracking targets. What are the advantages of Kalman filter over the others , if there are any since it clearly seems to be the preferred one?
Also, how is calculating intensity weighted centroid better than the geometric centroid of an image?
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