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Proceedings Paper

Fast local motion estimation algorithm using elementary motion detectors
Author(s): Eiji Nakamura; Takehito Nakamura; Katsutoshi Sawada
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Paper Abstract

This paper presnts a fast local motion estimation algorithm based on so called elementary motion detectors or EMDs. EMDs, modeling insect’s visual signal processing systems, have low computational complexity aspects and can thus be key components to realize such a fast local motion estimation algorithm. The contribution of the presented work is to introduce dual parameter estimators or DPEs by configuring EMDs so that they can estimate local motions in terms of both direction and speed mode parameters simultaneously. The estimated local motion vectors are displayed as arrows superimposed over video image frames. The developed algorithm is implmented in a DirectShow application by using Mircosoft’s DirectX runtime library and is evaluated using various types of video image sequences. It is found to be able to estimate local motion vectors in real time even in moderate PC computing platforms and hece no high profile hardware devices are needed for its real time operation.

Paper Details

Date Published: 23 June 2003
PDF: 12 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502261
Show Author Affiliations
Eiji Nakamura, Aichi Institute of Technology (Japan)
Takehito Nakamura, Aichi Institute of Technology (Japan)
Katsutoshi Sawada, Aichi Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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