Automated Target Characterization and Correlation with Heterogeneous Kinematic and Feature Data for Sensor Hand-Over

In Phase I, our team applied their extensive experience in this area to develop and implement a unified target characterization and correlation framework focused on sensor hand-over (SHO) between electro-optic/infrared (EO/IR) and radar. The SHO system is designed to operate in an environment with multiple heterogeneous sensors where detection, classification and localization information is exchanged among multiple platforms. Our ultimate goal is to transition an effective sensor hand-over module based upon an automated and autonomous information extraction and fusion suite. We have developed a unique multi-frame assignment based approach that works with tightly coupled target characterization and track correlation. In order to get the best out of all available RF and EO/IR sensors, we have developed meta-features that are both invariant to sensor type and also amenable for optimal track correlation across sensors. We have also developed efficient fusion or correlation algorithms based upon these pseudo-features that yield better common tracks and facilitate accurate track hand-over. Approved for Public Release 14-MDA-7739 (18 March 14).