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Proceedings Paper

Analog retina model for detecting moving objects against a moving background
Author(s): Robert M. Searfus; Frank H. Eeckman; Michael E. Colvin; Timothy S. Axelrod
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Paper Abstract

Many applications require the ability to detect and track moving objects against moving backgrounds. If an object's signal is less than or comparable to the variations in the background, sophisticated techniques must be employed to detect the object. An analog retina model that adapts to the motion of the background in order to enhance objects moving with a velocity different than the background velocity is presented. A computer simulation that preserves the analog nature of this model and its application to real and simulated data are described. The concept of an analog 'Z' focal plane implementation is also presented.

Paper Details

Date Published: 9 July 1991
PDF: 7 pages
Proc. SPIE 1473, Visual Information Processing: From Neurons to Chips, (9 July 1991); doi: 10.1117/12.45553
Show Author Affiliations
Robert M. Searfus, Lawrence Livermore National Lab. (United States)
Frank H. Eeckman, Lawrence Livermore National Lab. (United States)
Michael E. Colvin, Lawrence Livermore National Lab. (United States)
Timothy S. Axelrod, Lawrence Livermore National Lab. (United States)


Published in SPIE Proceedings Vol. 1473:
Visual Information Processing: From Neurons to Chips
Bimal P. Mathur; Christof Koch, Editor(s)

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