Title :
Recursive optical flow estimation-adaptive filtering approach
Author :
Elad, M. ; Feuer, A.
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Abstract :
This paper presents a new approach towards the problem of recursive optical flow estimation from image sequences based on the differential framework proposed by Horn and Schunck (1981). We show that gain is achieved both from computational and accuracy points of view when treating the estimation task recursively. Incorporation of the temporal axis into the estimation process is done by combining a temporal smoothness assumption on the optical flow. RLS and LMS recursive optical flow estimation algorithms are derived and tested
Keywords :
adaptive signal processing; image sequences; least mean squares methods; least squares approximations; recursive estimation; smoothing methods; LMS recursive optical flow estimation algorithm; RLS recursive optical flow estimation algorithm; adaptive filtering; differential framework; image sequences; temporal axis; temporal smoothness assumption; Adaptive filters; Adaptive optics; Brightness; Equations; Image motion analysis; Image sequences; Motion estimation; Optical filters; Recursive estimation; State estimation;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of
Conference_Location :
Jerusalem
Print_ISBN :
0-7803-3330-6
DOI :
10.1109/EEIS.1996.566996
