Title :
Optimal filters for gradient-based motion estimation
Author :
Elad, Michael ; Hel-Or, Yacov ; Teo, Patrick
Author_Institution :
HP Israel Sci. Center, Haifa, Israel
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;
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
DOI :
10.1109/EEEI.2000.924368
