Fringe-adjusted joint transform correlation based hetero-associative multiple target tracking

摘要

A technique has been formulated based on hetero-associative target detection strategy that recognizes and tracks multiple dissimilar or hetero-associative targets from gray-scale image sequences taken from a moving aircraft in real time. Fringe-adjusted joint transform correlation combined with the proposed hetero-associative filter is used to enhance the correlation performance and thus ensures strong and equal cross-correlation peak for each element of the selected class. Tracking is accomplished by combining the analysis of single image frame with the determination of the motion from consecutive image frames. For efficient performance, the desired targets are identified prior to be tracked by correlating successive frames using the proposed filter which is an enhanced version of the fringe-adjusted filter. The optimality of the tracking performance is tested by MATLAB software.