Paper
29 May 2014 Modeling static and dynamic detection of humans in rural terrain
Author Affiliations +
Abstract
Historically, the focus of detection experiments and modeling at the Night Vision and Electronic Sensors Directorate (NVESD) has been on detecting military vehicles in rural terrains. A gap remains in understanding the detection of human targets in rural terrains and how it might differ from detection of vehicles. There are also improvements that can be made in how to quantify the effect of human movement on detectability. Two experiments were developed to look at probability of detection and time to detect fully exposed human targets in a low to moderate clutter environment in the infrared waveband. The first test uses static images of standing humans while the second test uses videos of humans walking across the scene at various ranges and speeds. Various definitions of target and background areas are explored to calculated contrast and target size. Ultimately, task difficulty parameters (V50s) are calculated to calibrate NVESD sensor performance models, specifically NVThermIP and NV-IPM, for the human detection task. The focus of the analysis in this paper is primarily on the static detection task since the analysis for the dynamic detection experiment is still in the early stages. Results will be presented as well as a plan for future work in this area.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eric Flug "Modeling static and dynamic detection of humans in rural terrain", Proc. SPIE 9071, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXV, 90710M (29 May 2014); https://doi.org/10.1117/12.2053720
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection

Video

Data modeling

Palladium

Sensors

Neodymium

Performance modeling

Back to Top