Can multi-dimension spatial tracking be separated to multiply single-dimension tracking with Kalman filter?

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I would like to track an object with multiple dimensions, i.e. 2D point (x, y), where the motion on either dimension is independent. In this case, can I build two Kalman filters on the x-axis and y-axis respectively, instead of having one with a state transition matrix of 4x4? Thanks to anyone who is willing to share ideas!

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