A 2D amplitude-modulation frequency-modulation representation for motion estimation

Victor Murray; Alvaro Dasso; Juan Llanos; Paul Rodriguez; Marios S. Pattichis

doi:10.1109/ANDESCON.2016.7836204

A 2D amplitude-modulation frequency-modulation representation for motion estimation

Victor Murray, Alvaro Dasso, Juan Llanos, Paul Rodriguez, Marios S. Pattichis

Sección de Electricidad y Electrónica

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We present a new approach for motion estimation from digital videos based on the use of 2D amplitude-modulation frequency-modulation (AM-FM) models. The proposed approach uses an AM-FM representation to derive AM and FM based equations that can be applied to two consecutive frames to derive motion estimates. We test the proposed method using complex synthetic examples, with both amplitude-modulated and frequency-modulated components, for both sinusoidal, periodic motions and constant motion and compare against the popular Horn-Schunk and Lucas and Kanade method. Compared to the standard Horn-Schunk and Lucas and Kanade methods, the proposed approach leads to dramatic reductions in the mean-squared error for both constant, translational motion (from 19.73% to 95.46% reduction) and complex sinusoidal, periodic motions (up to 67.95% reduction).

Original language	English
Title of host publication	Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509025312
DOIs	https://doi.org/10.1109/ANDESCON.2016.7836204
State	Published - 27 Jan 2017
Event	2016 IEEE ANDESCON, ANDESCON 2016 - Arequipa, Peru Duration: 19 Oct 2016 → 21 Oct 2016

Publication series

Name	Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016

Conference

Conference	2016 IEEE ANDESCON, ANDESCON 2016
Country/Territory	Peru
City	Arequipa
Period	19/10/16 → 21/10/16

Keywords

amplitude-modulation frequency-modulation
motion estimation
optical flow

Access to Document

10.1109/ANDESCON.2016.7836204

Cite this

Murray, V., Dasso, A., Llanos, J., Rodriguez, P., & Pattichis, M. S. (2017). A 2D amplitude-modulation frequency-modulation representation for motion estimation. In Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016 Article 7836204 (Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ANDESCON.2016.7836204

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title = "A 2D amplitude-modulation frequency-modulation representation for motion estimation",

abstract = "We present a new approach for motion estimation from digital videos based on the use of 2D amplitude-modulation frequency-modulation (AM-FM) models. The proposed approach uses an AM-FM representation to derive AM and FM based equations that can be applied to two consecutive frames to derive motion estimates. We test the proposed method using complex synthetic examples, with both amplitude-modulated and frequency-modulated components, for both sinusoidal, periodic motions and constant motion and compare against the popular Horn-Schunk and Lucas and Kanade method. Compared to the standard Horn-Schunk and Lucas and Kanade methods, the proposed approach leads to dramatic reductions in the mean-squared error for both constant, translational motion (from 19.73% to 95.46% reduction) and complex sinusoidal, periodic motions (up to 67.95% reduction).",

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author = "Victor Murray and Alvaro Dasso and Juan Llanos and Paul Rodriguez and Pattichis, {Marios S.}",

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Murray, V, Dasso, A, Llanos, J, Rodriguez, P & Pattichis, MS 2017, A 2D amplitude-modulation frequency-modulation representation for motion estimation. in Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016., 7836204, Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE ANDESCON, ANDESCON 2016, Arequipa, Peru, 19/10/16. https://doi.org/10.1109/ANDESCON.2016.7836204

A 2D amplitude-modulation frequency-modulation representation for motion estimation. / Murray, Victor; Dasso, Alvaro; Llanos, Juan et al.
Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7836204 (Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - A 2D amplitude-modulation frequency-modulation representation for motion estimation

AU - Murray, Victor

AU - Dasso, Alvaro

AU - Llanos, Juan

AU - Rodriguez, Paul

AU - Pattichis, Marios S.

PY - 2017/1/27

Y1 - 2017/1/27

N2 - We present a new approach for motion estimation from digital videos based on the use of 2D amplitude-modulation frequency-modulation (AM-FM) models. The proposed approach uses an AM-FM representation to derive AM and FM based equations that can be applied to two consecutive frames to derive motion estimates. We test the proposed method using complex synthetic examples, with both amplitude-modulated and frequency-modulated components, for both sinusoidal, periodic motions and constant motion and compare against the popular Horn-Schunk and Lucas and Kanade method. Compared to the standard Horn-Schunk and Lucas and Kanade methods, the proposed approach leads to dramatic reductions in the mean-squared error for both constant, translational motion (from 19.73% to 95.46% reduction) and complex sinusoidal, periodic motions (up to 67.95% reduction).

AB - We present a new approach for motion estimation from digital videos based on the use of 2D amplitude-modulation frequency-modulation (AM-FM) models. The proposed approach uses an AM-FM representation to derive AM and FM based equations that can be applied to two consecutive frames to derive motion estimates. We test the proposed method using complex synthetic examples, with both amplitude-modulated and frequency-modulated components, for both sinusoidal, periodic motions and constant motion and compare against the popular Horn-Schunk and Lucas and Kanade method. Compared to the standard Horn-Schunk and Lucas and Kanade methods, the proposed approach leads to dramatic reductions in the mean-squared error for both constant, translational motion (from 19.73% to 95.46% reduction) and complex sinusoidal, periodic motions (up to 67.95% reduction).

KW - amplitude-modulation frequency-modulation

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A 2D amplitude-modulation frequency-modulation representation for motion estimation

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