Image-correlation data association with phase-varying uncertainty techniques

A data association technique for target tracking that uses image correlation is enhanced by incorporating uncertainty. The approach uses fuzzy logic to simplify the mapping of the uncertainty to a usable construct to adjust the image generation based on the uncertainty of the measurements. The application of the uncertainty mapping is developed. This technique modifies the phase variation range that is used to generate the elements in the tile for each attribute at each time.