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

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

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Resumen

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).

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2016 IEEE ANDESCON, ANDESCON 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509025312
DOI
EstadoPublicada - 27 ene. 2017
Evento2016 IEEE ANDESCON, ANDESCON 2016 - Arequipa, Perú
Duración: 19 oct. 201621 oct. 2016

Serie de la publicación

NombreProceedings of the 2016 IEEE ANDESCON, ANDESCON 2016

Conferencia

Conferencia2016 IEEE ANDESCON, ANDESCON 2016
País/TerritorioPerú
CiudadArequipa
Período19/10/1621/10/16

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