DocumentCode
501279
Title
Optical Flow Estimation Based on Predictive Vectors
Author
Jing, Xu ; Huamin, Yang
Author_Institution
Sch. of Comput. Sci. & Technol., Changchun Univ. of Sci. & Technol., Changchun, China
Volume
2
fYear
2009
fDate
15-17 May 2009
Firstpage
696
Lastpage
699
Abstract
In this paper, we analyze the problem of block matching method for computing optical flow and propose a new computing method, which records matching rate distribution for each block in the global searching area during the first time block matching procedure, and compute the predictive vectors, and then combining both of data information, compensate for the incorrect motion vectors, finally, compute correctly the global optical flow. Experimental results indicate that the approach is valid and robust.
Keywords
image matching; image sequences; block matching method; data information; incorrect motion vectors; matching rate distribution; motion vector field; optical flow estimation; optical flow field; predictive vectors; Application software; Brightness; Data flow computing; Distributed computing; Image motion analysis; Layout; Motion estimation; Optical computing; Optical noise; Robustness; block matching; computer vision; optical flow; robust;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.547
Filename
5231452
Link To Document