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Particularity Kalman Filter Computer Vision
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Hi everybody! I have a theoretical question about an implementation that MATLAB gives about the Kalman Filter obtainable with the function configureKalmanFilter.
In particular, whenever there has been the need to write a Kalman Filter aimed to track position, velocity and acceleration I've also written a state transition matrix that contemplates also the acceleration into the estimation of the variable associated to the position, basically writing the formula:
x(t+1) = x(t) + v(t) + 0.5*a(t)
(where the time does not compare near the acceleration term since it's unitary)
Analyzing instead the solution it is proposed into the function I observed that only the velocity term is considered in the computation of the state, ignoring any acceleration.
My question is so: Why did you choose to apply such structure instead of entirely rewriting the typical equation of uniformly accelerated motions?
Dima Lisin el 3 de Sept. de 2015
The configureKalmanFilter function lets you specify the motion model, which can be 'ConstantVelocity' or 'ConstantAcceleration'. If you choose 'ConstantAcceleration' then the state transition matrix A will be set to account for the acceleration. If you have a motion model, in which acceleration is not constant, then you would have to construct the vision.KalmanFilter object "manually" using the constructor, and specify the appropriate state transition matrix.