DocumentCode :
1885794
Title :
A foveal vision based approach to ATR
Author :
Zhou, Y.T. ; Hecht-Nielsen, R.
Author_Institution :
HNC Software Inc., San Diego, CA, USA
Volume :
2
fYear :
1994
fDate :
31 Oct-2 Nov 1994
Firstpage :
874
Abstract :
Unlike traditional automatic target recognition (ATR) approaches, the foveal vision based approach uses a foveated sensor to dynamically allocate visual resolution spatially and temporally to objects relevant to the task. It mimics human eye movements to find “attractive” regions quickly and accurately. A software demonstration system has been built based on the foveal vision approach and tested on a variety of sensor data including TV, infrared (IR), and laser radar (LADAR). Test results indicated that the foveal vision based approach not only supports a decrease of several orders of magnitude in the amount of data processing but also provides an increased ability to discriminate targets
Keywords :
computer vision; eye; feedforward neural nets; image resolution; image sampling; military computing; military systems; multilayer perceptrons; radar target recognition; ATR; IR; TV; automatic target recognition; data processing; foveal vision; foveated sensor; human eye movements; infrared; laser radar; military system; sensor data; software demonstration system; targets discrimination; visual resolution; Humans; Infrared sensors; Laser radar; Sensor systems; Software systems; Software testing; Spatial resolution; System testing; TV; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-6405-3
Type :
conf
DOI :
10.1109/ACSSC.1994.471586
Filename :
471586
Link To Document :
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