Skip to main navigation Skip to search Skip to main content

2D amplitude-modulation frequency-modulation - Based method for motion estimation

  • Victor Murray
  • , Paul Rodriguez
  • , Maria Noriega
  • , Alvaro Dasso
  • , Marios S. Pattichis
  • University of Engineering and Technology UTEC
  • University of New Mexico

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We present a new approach to compute the motion estimation in digital videos using 2D amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted norm for total variation (IRN-TV) algorithm. We compare the proposed method using synthetic videos versus a previous three-dimensional AM-FM based method and available motion estimation methods available in free and commercial software. The proposed approach produces dense estimates that are more accurate than competitive methods.

Original languageEnglish
Title of host publication2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings
EditorsAlfredo Arnaud, Fernando Silveira, Lorena Garcia
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479983322
DOIs
StatePublished - 9 Sep 2015
Event6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015 - Montevideo, Uruguay
Duration: 24 Feb 201527 Feb 2015

Publication series

Name2015 IEEE 6th Latin American Symposium on Circuits and Systems, LASCAS 2015 - Conference Proceedings

Conference

Conference6th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2015
Country/TerritoryUruguay
CityMontevideo
Period24/02/1527/02/15

Keywords

  • amplitude-modulation frequency-modulation
  • motion estimation
  • optical flow

Fingerprint

Dive into the research topics of '2D amplitude-modulation frequency-modulation - Based method for motion estimation'. Together they form a unique fingerprint.

Cite this