Fast digital optical flowestimation based on EMD

Mickael Quelin*, Abdesselam Bouzerdoum, Son Lam Phung

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

This paper presents an optical flow estimation technique based on the so called Elementary Motion Detector (EMD). The aim is to provide a fast but not necessarily very accurate system to be used for specific post processing purposes. This model uses a low complexity algorithm for detecting motion in four directions by identifying specific motion templates. By extending the motion templates to different scales of the input video, an Elementary Velocity Detector (EVD) is created. This one can save computation time by estimating different speeds in parallel. Information from the EVD outputs is then used to generate an estimate of the optical flow along edges and other intensity transitions. Experimental results are presented, which show the effectiveness of the proposed model. Furthermore, the robustness of the model can be enhanced by using pre-filtering.

Original languageEnglish
Title of host publication2010 2nd European Workshop on Visual Information Processing, EUVIP2010
Pages155-158
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2nd European Workshop on Visual Information Processing, EUVIP2010 - Paris, France
Duration: 5 Jul 20107 Jul 2010

Publication series

Name2010 2nd European Workshop on Visual Information Processing, EUVIP2010

Conference

Conference2nd European Workshop on Visual Information Processing, EUVIP2010
Country/TerritoryFrance
CityParis
Period5/07/107/07/10

Keywords

  • Elementary motion detector (EMD)
  • Elementary velocity detector (EVD)
  • Horridge template model
  • Insect vision
  • Optical flow
  • Reichardt correlator

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