Optical Flow from Motion Blurred Color Images

Yasmina Schoueri, Milena Scaccia, Ioannis Rekleitis
In Canadian Conference on Computer and Robot Vision (CRV) 2009.

Abstract

Abstract: This paper presents an algorithm for the estimation of optical flow from a single, motion-blurred, color image. The proposed algorithm is based on earlier work that estimated the optical flow using the information from a single grey scale image. By treating the three color channels separately we improved the robustness of our approach. Since first introduced, different groups have used similar techniques of the original algorithm to estimate motion in a variety of applications. Experimental results from natural as well as artificially motion-blurred images are presented.

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BibTeX

@inproceedings{RekleitisCRV2009,
  author       = {Yasmina Schoueri and Milena Scaccia and Ioannis
		 Rekleitis},
  title        = {Optical Flow from Motion Blurred Color Images},
  booktitle    = {Canadian Conference on Computer and Robot Vision (CRV)},
  pages        = {1-7},
  year	       = {2009},
  address      = {Kelowna, BC, Canada},
  month        = {May}
}

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