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24 August 1999 Human vision model for advanced autonomous seekers
Barnabas Takacs, Lev S. Sadovnik
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Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359969
Event: AeroSense '99, 1999, Orlando, FL, United States
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.
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Barnabas Takacs and Lev S. Sadovnik "Human vision model for advanced autonomous seekers", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359969
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KEYWORDS
Visual process modeling
Target recognition
Visualization
Image processing
Sensors
3D modeling
Automatic target recognition
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