A systolic neural network image processing architecture

Author

Cavaiuolo, Mario ; Yakovleff, Andre J S ; Watson, Charles R. ; Kershaw, James A.

Author_Institution

Defence Sci. & Technol. Organ., Salisbury, SA, Australia

fYear

1992

fDate

4-8 May 1992

Firstpage

695

Lastpage

700

Abstract

The architecture introduced, the neural accelerator board (NAB) system, has been designed to perform a range a machine vision functions, of which one is motion parallax range estimation. The approach used in the NAB system, is to perform real-time calculations on the image data, captured by a moving video camera, using a highly parallel neural network architecture. The NAB system architecture, its physical implementation, and the surrounding application system are described. The implementation of the motion parallax algorithm, as a demonstration of the capabilities of this architecture, is outlined.<>

Keywords

computer vision; image processing; neural nets; optical information processing; systolic arrays; machine vision; motion parallax range estimation; neural accelerator board; real-time calculations; systolic neural network image processing architecture; Australia; Computer architecture; Hardware; Image processing; Information technology; Limiting; Motion analysis; Motion estimation; Neural networks; Systolic arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

CompEuro '92 . 'Computer Systems and Software Engineering',Proceedings.

Conference_Location

The Hague, Netherlands

Print_ISBN

0-8186-2760-3

Type

conf

DOI

10.1109/CMPEUR.1992.218450

Filename

218450