Human perception testing methodology for evaluating EO/IR imaging systems

John J. Graybeal; Samuel S. Monfort; Todd W. Du Bosq; Babajide O. Familoni

doi:10.1117/12.2307629

26 April 2018 Human perception testing methodology for evaluating EO/IR imaging systems

John J. Graybeal, Samuel S. Monfort, Todd W. Du Bosq, Babajide O. Familoni

Proceedings Volume 10625, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX; 106250T (2018) https://doi.org/10.1117/12.2307629
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

The U.S. Army’s RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD) Perception Lab is tasked with supporting the development of sensor systems for the U.S. Army by evaluating human performance of emerging technologies. Typical research questions involve detection, recognition and identification as a function of range, blur, noise, spectral band, image processing techniques, image characteristics, and human factors. NVESD’s Perception Lab provides an essential bridge between the physics of the imaging systems and the performance of the human operator. In addition to quantifying sensor performance, perception test results can also be used to generate models of human performance and to drive future sensor requirements. The Perception Lab seeks to develop and employ scientifically valid and efficient perception testing procedures within the practical constraints of Army research, including rapid development timelines for critical technologies, unique guidelines for ethical testing of Army personnel, and limited resources. The purpose of this paper is to describe NVESD Perception Lab capabilities, recent methodological improvements designed to align our methodology more closely with scientific best practice, and to discuss goals for future improvements and expanded capabilities. Specifically, we discuss modifying our methodology to improve training, to account for human fatigue, to improve assessments of human performance, and to increase experimental design consultation provided by research psychologists. Ultimately, this paper outlines a template for assessing human perception and overall system performance related to EO/IR imaging systems.

Citation Download Citation

John J. Graybeal, Samuel S. Monfort, Todd W. Du Bosq, and Babajide O. Familoni "Human perception testing methodology for evaluating EO/IR imaging systems", Proc. SPIE 10625, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX, 106250T (26 April 2018); https://doi.org/10.1117/12.2307629

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KEYWORDS

Sensors

Visualization

Image processing

Performance modeling

Imaging systems

Target detection

Sensor performance

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