DocumentCode :
3256868
Title :
Optical Flow from Motion Blurred Color Images
Author :
Schoueri, Yasmina ; Scaccia, Milena ; Rekleitis, Ioannis
Author_Institution :
Sch. of Comput. Sci., McGill Univ., Montreal, QC, Canada
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
1
Lastpage :
7
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.
Keywords :
image colour analysis; image restoration; image sequences; motion estimation; color channels; grey scale image; motion blurred color images; motion estimation; optical flow; Cameras; Color; Computer vision; Fluid flow measurement; Image motion analysis; Layout; Motion estimation; Motion measurement; Optical computing; Optical sensors; Color Images; Motion Blur; Optical Flow; Steerable Filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision, 2009. CRV '09. Canadian Conference on
Conference_Location :
Kelowna, BC
Print_ISBN :
978-0-7695-3651-4
Type :
conf
DOI :
10.1109/CRV.2009.15
Filename :
5230544
Link To Document :
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