Paper
20 June 2014 Summary of tracking and identification methods
Author Affiliations +
Abstract
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Blasch, Chun Yang, and Ivan Kadar "Summary of tracking and identification methods", Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 909104 (20 June 2014); https://doi.org/10.1117/12.2050260
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Sensors

Data modeling

Data processing

Kinematics

Target detection

Pattern recognition

Radar

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