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Detection of Motion-defined form using Night Vision Goggles Todd Macuda*a
 

Summary: Detection of Motion-defined form using Night Vision Goggles
Todd Macuda*a
, Greg Craiga
Robert S. Allisonb
, Pearl Gutermanb
, Paul Thomasc
, Sion Jenningsa
a
National Research Council, Flight Research Laboratory, Ottawa, Canada K1A 0R6;
b
York University, Department of Computer Science, Toronto, Canada, M3J 1P3
c
Topaz Technology Inc., Toronto, Canada
1
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

  

Source: Allison, Robert - Department of Computer Science, York University (Toronto)

 

Collections: Computer Technologies and Information Sciences; Biology and Medicine