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Proceedings Paper

Machine perception using the five human defined forms plus infrared
Author(s): Paul DeRego; Steven Cave
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Paper Abstract

A machine vision system needing to remain vigilant within its environment must be able to quickly perceive both clearly identifiable objects as well as those that are deceptive or camouflaged (attempting to blend into the background). Humans accomplish this task early in the visual pathways, using five spatially defined forms of processing. These forms are Luminance-defined, Color-defined, Texture-defined, Motion-defined, and Disparity-defined. This paper discusses a visual sensor approach that combines a biological system's strategy to break down camouflage with simple image processing algorithms that may be implemented for real time video. Thermal imaging is added to increase sensing capability. Preliminary filters using MATLAB and operating on digital still images show somewhat encouraging results. Current efforts include implementing the sensor for real-time video processing.

Paper Details

Date Published: 12 February 2007
PDF: 8 pages
Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64921C (12 February 2007); doi: 10.1117/12.704050
Show Author Affiliations
Paul DeRego, Kansas City Plant/Kirtland Operations (United States)
Steven Cave, Kansas City Plant/Kirtland Operations (United States)

Published in SPIE Proceedings Vol. 6492:
Human Vision and Electronic Imaging XII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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