Over the last two decades, many solutions have arisen to combine target tracking estimation with classification methods.
Target tracking includes developments from linear to non-linear and Gaussian to non-Gaussian processing. Pattern
recognition includes detection, classification, recognition, and identification methods. Integrating tracking and pattern
recognition has resulted in numerous approaches and this paper seeks to organize the various approaches. We discuss the
terminology so as to have a common framework for various standards such as the NATO STANAG 4162 - Identification
Data Combining Process. In a use case, we provide a comparative example highlighting that location information (as an
example) with additional mission objectives from geographical, human, social, cultural, and behavioral modeling is
needed to determine identification as classification alone does not allow determining identification or intent.