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Proceedings Paper

Detection of motion-defined form using night vision goggles
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Paper Abstract

Perception of motion-defined form is important in operational tasks such as search and rescue and camouflage breaking. Previously, we used synthetic Aviator Night Vision Imaging System (ANVIS-9) imagery to demonstrate that the capacity to detect motion-defined form was degraded at low levels of illumination (see Macuda et al., 2004; Thomas et al., 2004). To validate our simulated NVG results, the current study evaluated observer’s ability to detect motion-defined form through a real ANVIS-9 system. The image sequences consisted of a target (square) that moved at a different speed than the background, or only depicted the moving background. For each trial, subjects were shown a pair of image sequences and required to indicate which sequence contained the target stimulus. Mean illumination and hence image noise level was varied by means of Neutral Density (ND) filters placed in front of the NVG objectives. At each noise level, we tested subjects at a series of target speeds. With both real and simulated NVG imagery, subjects had increased difficulty detecting the target with increased noise levels, at both slower and higher target speeds. These degradations in performance should be considered in operational planning. Further research is necessary to expand our understanding of the impact of NVG-produced noise on visual mechanisms.

Paper Details

Date Published: 19 May 2005
PDF: 8 pages
Proc. SPIE 5800, Helmet- and Head-Mounted Displays X: Technologies and Applications, (19 May 2005); doi: 10.1117/12.602590
Show Author Affiliations
Todd Macuda, National Research Council Canada (Canada)
Greg Craig, National Research Council Canada (Canada)
Robert S. Allison, York Univ. (Canada)
Pearl Guterman, York Univ. (Canada)
Paul Thomas, Topaz Technology Inc. (Canada)
Sion Jennings, National Research Council Canada (Canada)

Published in SPIE Proceedings Vol. 5800:
Helmet- and Head-Mounted Displays X: Technologies and Applications
Clarence E. Rash; Colin E. Reese, Editor(s)

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