Abstract
Our objective is to design a visual analyzer for real-time scene analysis of dynamic imagery. For this purpose we employ a cognitive architecture derived from concepts of the central nervous system. Output of the visual analyzer will be high-level real-time perceptual data suitable either for the guidance of robot action or for the symbolic description of the visual environment. This output resides in a distributed relational database modeling the hypercolumnar architecture of the visual cortex.
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