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A method of optical flow computation based on LUV color space

  • Xuezhi Xiang*
  • , Yu Peng
  • , Lei Zhang
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • College of Information and Communication Engineering, Harbin Engineering University

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

Abstract

For improving accuracy of optical flow computation, we propose a new method to compute optical flow from both gray and color information. First, the Gauss filter is used to pre-filter the color image sequence. Then optical flow recovery is based on the method of neighborhood least squares using brightness information. And the weight coefficients of local neighborhood are determined by U and V channels in LUV color space. Finally, the optical flow result is filtered by median filter. The experiment results show that the proposed method produces dense optical flow field and accuracy of the results can also be improved.

Original languageEnglish
Title of host publicationICTM 2009 - 2009 International Conference on Test and Measurement
Pages378-381
Number of pages4
DOIs
StatePublished - 2009
Event2009 International Conference on Test and Measurement, ICTM 2009 - Hong Kong, Hong Kong
Duration: 5 Dec 20096 Dec 2009

Publication series

NameProceedings of the International Symposium on Test and Measurement
Volume2

Conference

Conference2009 International Conference on Test and Measurement, ICTM 2009
Country/TerritoryHong Kong
CityHong Kong
Period5/12/096/12/09

Keywords

  • Color image
  • LUV
  • Local neighborhood least squares
  • Optical flow

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