Implementation of Factorized Kalman Filter for Target Image Tracking
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 2
Abstract
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.
Authors and Affiliations
Roopa . H. R
Keywords
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