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Proceedings Paper

Human vision model for advanced autonomous seekers
Author(s): Barnabas Takacs; Lev S. Sadovnik
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Paper Abstract

This paper describes a biologically motivated visual architecture for automatic target acquisition and tracking. The model, that is based on principal characteristics of the Human visual System (HVS), was incorporated into a prototype ATR testbed that performs multi-resolution target signature extraction at the sensor level. The extracted target features are then integrated into a consistent representation of the scene using a parallel attention model of the HVS. The described ATR solution integrates a number of innovations on target segmentation, camouflage elimination, 3D invariant target identification and intelligent tracking into a concise framework. The architecture is transparent to sensor technology. Simulation and experimental results are presented.

Paper Details

Date Published: 24 August 1999
PDF: 11 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359969
Show Author Affiliations
Barnabas Takacs, Virtual Celebrity Productions (United States)
Lev S. Sadovnik, WaveBand Corp. (United States)

Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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