Detection of periodic signals with unknown pattern in image sequences

Gennady Feldman; Doron Bar; Israel Tugendhaft

doi:10.1117/12.452359

21 November 2002 Detection of Periodic Signals with Unknown Pattern in Image Sequences

Gennady Feldman, Doron Bar, Israel Tugendhaft

Proceedings Volume 4790, Applications of Digital Image Processing XXV; (2002) https://doi.org/10.1117/12.452359
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available