Measurements of tracked objects, specified as an
N-by-K matrix where N is the
number of measurements. Each row of the matrix contains a measurement vector. The number
of columns, K, must match the measurement dimensions of the motion
model. This computation takes into account the covariance of the predicted state and the
process noise.