DocumentCode
2303105
Title
Artificial neural networks for motion analysis
Author
Chen, Ting
Author_Institution
Argonne Nat. Lab., IL, USA
fYear
1994
fDate
6-9 Nov 1994
Firstpage
175
Lastpage
180
Abstract
A novel approach to 3D rigid motion analysis using artificial neural network techniques is proposed. It differs from the previous works in the ways it tackles the problems of matching and motion parameter extraction among two frames. Experiments are conducted to corroborate the proposed techniques
Keywords
Hopfield neural nets; computer vision; image matching; motion estimation; parameter estimation; 3D rigid motion analysis; artificial neural networks; frames; matching; motion parameter extraction; Artificial neural networks; Image motion analysis; Laboratories; Motion analysis; Motion estimation; Neural networks; Optical computing; Parameter estimation; Parameter extraction; Pattern matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-8186-6785-0
Type
conf
DOI
10.1109/TAI.1994.346498
Filename
346498
Link To Document