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Proceedings Paper

Neural model-based motion estimation
Author(s): Jaroslaw Szostakowski; Slawomir Skoneczny; Marcin Iwanowski
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Paper Abstract

In this paper a novel method of estimating displacement of moving objects from one frame to the next in the image sequence is presented. This method is based on using the artificial neural networks for different models of motion. The two model is examined: affine flow and planar surface motion. Various circuit architectures of simple neuron-like processors are considered for estimation of motion parameters. The efficiency of the proposed networks are investigated by computer simulation for using in video processing.

Paper Details

Date Published: 24 October 1997
PDF: 8 pages
Proc. SPIE 3162, Advanced Signal Processing: Algorithms, Architectures, and Implementations VII, (24 October 1997); doi: 10.1117/12.279505
Show Author Affiliations
Jaroslaw Szostakowski, Warsaw Univ. of Technology (Poland)
Slawomir Skoneczny, Warsaw Univ. of Technology (Poland)
Marcin Iwanowski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 3162:
Advanced Signal Processing: Algorithms, Architectures, and Implementations VII
Franklin T. Luk, Editor(s)

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