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21 November 2002 Detection of Periodic Signals with Unknown Pattern in Image Sequences
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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.
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Gennady Feldman, Doron Bar, and Israel Tugendhaft "Detection of Periodic Signals with Unknown Pattern in Image Sequences", Proc. SPIE 4790, Applications of Digital Image Processing XXV, (21 November 2002); https://doi.org/10.1117/12.452359
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