Moving target tracking is an important tack in defence and security. Such task can be performed with the help of various kinds of sensors, such as Radar, GPS, and Ground Moving Target Indicator (GMTI). This research looking into developing/applying Computational Intelligence (CI) based techniques into track correlation and association on various kinds of sensor networks. The CI-base approach will help identify and fuse tracks that belong to the same vessel and better model the state of the moving target. Experimental results on both synthetic and real world data will be shown.