Infrared target motion estimation using a neural network

Roger A. Samy

doi:10.1117/12.21174

1 August 1990 Infrared target motion estimation using a neural network

Roger A. Samy

Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21174
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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 -

Citation Download Citation

Roger A. Samy "Infrared target motion estimation using a neural network", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21174

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