Title :
Artificial neural networks for motion analysis
Author_Institution :
Argonne Nat. Lab., IL, USA
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;
Conference_Titel :
Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-6785-0
DOI :
10.1109/TAI.1994.346498
