DocumentCode
1617617
Title
A coupled-grid neural network retina for real-time visual processing
Author
De Yong, M. ; Eskridge, Thomas ; Palmer, Alan
Author_Institution
New Mexico State Univ., La Cruces, NM, USA
fYear
1992
Firstpage
1179
Abstract
A real-time parallel retinal processor is currently being developed. The processor is based on a hybrid analog/digital neural processing element. The processor uses spatiotemporal characteristics of its input images to perform feature enhancement and extraction, motion detection and velocity measurements, target tracking, and system focal length adjustments. The subsystems which perform the four operations are described
Keywords
computer vision; feature extraction; hybrid computers; image processing; image sensors; motion estimation; neural nets; parallel architectures; real-time systems; tracking; coupled-grid neural network retina; feature enhancement; machine vision; motion detection; parallel retinal processor; real-time visual processing; system focal length adjustments; target tracking; velocity measurements; Computer vision; Concurrent computing; Feature extraction; Motion detection; Neural networks; Neurons; Retina; Shape; Target tracking; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1992., Proceedings of the 35th Midwest Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-0510-8
Type
conf
DOI
10.1109/MWSCAS.1992.271158
Filename
271158
Link To Document