Detection of motion-defined form using night vision goggles. Macuda, T., Craig, G., Allison, R., Guterman, P., Thomas, P., & Jennings, S. In volume 5800, of Proc. SPIE - Int. Soc. Opt. Eng. (USA), pages 1-8, Orlando, FL, USA, 2005. SPIE-Int. Soc. Opt. Eng. ![Detection of motion-defined form using night vision goggles [link]](https://bibbase.org/img/filetypes/link.svg "link")
-1 doi abstract bibtex 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
@inproceedings{allison20051-8,
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},
address = {Orlando, FL, USA},
author = {Macuda, T. and Craig, G. and Allison, R.S. and Guterman, P. and Thomas, P. and Jennings, S.},
date-modified = {2012-07-02 22:26:09 -0400},
doi = {10.1117/12.602590},
keywords = {Night Vision},
pages = {1-8},
publisher = {SPIE-Int. Soc. Opt. Eng},
series = {Proc. SPIE - Int. Soc. Opt. Eng. (USA)},
title = {Detection of motion-defined form using night vision goggles},
url-1 = {http://dx.doi.org/10.1117/12.602590},
volume = {5800},
year = {2005},
url-1 = {https://doi.org/10.1117/12.602590}}
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