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