DocumentCode
3207579
Title
A MRF approach to optical flow estimation
Author
Vlontzos, J.A. ; Geiger, D.
Author_Institution
Siemens Corporate Res. Inc., Princeton, NJ, USA
fYear
1992
fDate
15-18 Jun 1992
Firstpage
853
Lastpage
856
Abstract
A Markov random field (MRF) formulation for the problem of optical flow computation is studied. An adaptive window matching scheme is used to obtain a good measure of the correlation between the two images. A confidence measure for each match is also used. Thus, the input to the system is the adaptive correlation and the corresponding confidence. The MRF model is then used to estimate the velocity field and the velocity discontinuities. The problem of occlusions is addressed, and a relationship between occlusions and motion discontinuities is established
Keywords
Markov processes; image processing; Markov random field; adaptive window matching; optical flow computation; optical flow estimation; velocity field; Adaptive systems; Eigenvalues and eigenfunctions; Image motion analysis; Lighting; Markov random fields; Motion estimation; Noise reduction; Optical computing; Optical imaging; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location
Champaign, IL
ISSN
1063-6919
Print_ISBN
0-8186-2855-3
Type
conf
DOI
10.1109/CVPR.1992.223240
Filename
223240
Link To Document