The objective of this chapter is to present an approach for target tracking
in cluttered environment, which incorporates the advanced concept of generalized data (kinematics and attribute) association (GDA) to improve track maintenance performance in complicated situations (closely spaced and/or crossing targets), when
kinematics data are insufficient for correct decision making.