DocumentCode
3117287
Title
Optimal filters for gradient-based motion estimation
Author
Elad, Michael ; Hel-Or, Yacov ; Teo, Patrick
Author_Institution
HP Israel Sci. Center, Haifa, Israel
fYear
2000
fDate
2000
Firstpage
195
Lastpage
197
Abstract
Summary form only given. Estimating the motion between two images plays a vital role in many applications and has drawn a lot of attention during the last two decades. There are many ways to approach this problem and indeed many algorithms have been proposed for this task. In Barron et. al. (1994) a comparative survey of many motion estimation techniques is given. One family of such algorithms which was found to perform well is the family of gradient-based methods
Keywords
circuit optimisation; filtering theory; gradient methods; motion estimation; gradient-based motion estimation; image motion estimation; optical flow estimation; optimal filters; Brightness; Cities and towns; Difference equations; Finite difference methods; Image motion analysis; Image sequences; Layout; Motion estimation; Optical filters; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and electronic engineers in israel, 2000. the 21st ieee convention of the
Conference_Location
Tel-Aviv
Print_ISBN
0-7803-5842-2
Type
conf
DOI
10.1109/EEEI.2000.924368
Filename
924368
Link To Document