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Proceedings Paper

Detection of periodic signals with unknown pattern in image sequences
Author(s): Gennady Feldman; Doron Bar; Israel Tugendhaft
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Paper Abstract

This article is a continuation of our work on signal detection in image sequences 1, 2. An algorithm has been developed for detection, localization and tracking of signals that appear in a small number of pixels of an image sequence and are periodic in the temporal domain. For such a signal, uniformly sampled, a model dependent on few parameters is derived and used for fitting a power spectrum and the signal itself. To enhance such a signal, a generalization of the Principal Component Method is proposed. A simulation based on the model is described. The pre-processing procedure is basically the same as before 1, 2. The algorithm was tested by processing simulated image sequences, as well as some real ones.

Paper Details

Date Published: 21 November 2002
PDF: 8 pages
Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); doi: 10.1117/12.452359
Show Author Affiliations
Gennady Feldman, Soreq Nuclear Research Ctr. (Israel)
Doron Bar, Soreq Nuclear Research Ctr. (Israel)
Israel Tugendhaft, Soreq Nuclear Research Ctr. (Israel)

Published in SPIE Proceedings Vol. 4790:
Applications of Digital Image Processing XXV
Andrew G. Tescher, Editor(s)

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