Implementation of Factorized Kalman Filter for Target Image Tracking

Filtering is useful for many engineering and aerospace applications like satellite orbit estimation or
aircraft state estimation. Factorized Kalman filtering strategy which was originally developed for using
it in spacecraft navigation is discussed in this paper. This algorithm, involves the two aspects of
automatic target recognition which are location and identity estimation of a moving target in the
generated images and centroid tracking for target state estimation using sensor data. For tracking the
centroid of the grey level image factorized Kalman filter is used. A MATLAB code is developed and the
simulated data results indicate a good tracking performance for images. It was observed that filter
generates robust tracks and its results are validated using true data.