Proceedings Paper
Infrared target motion estimation using a neural network| Format | Member Price | Non-Member Price |
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Paper Abstract
A method for optical flow estimation from an image sequence using a neural network is presented. Under hypothesis based on local rigidity translational motion and smoothness constraints a neural network is designed to estimate the optical flow. Experimental results using real world I. R. images are presented to demonstrate the efficiency of this method compared to Horn and Schunck algorithm. I -
Paper Details
Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21174
Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)
PDF: 8 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21174
Show Author Affiliations
Roger A. Samy, Society Anonyme des Telecommunications (France)
Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)
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