TY  - JOUR
T1  - Fast  Global  Motion  Estimation  for  Image Sequences
AU - , Z.E. Baarir AU - , F. Charif 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 9
SP  - 968
EP  - 975
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.968.975
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.968.975
KW  - Horn Schunck algorithm
KW  -optical flow estimation
KW  -simoncelli’s filters
KW  -synthetic
KW  -real image sequences
AB  - Optical flow estimation is important in the area of computer vision. This study presents a fast modified Horn and Schunck study for robust boundary preserving estimation of optical flow. Variational approaches have addressed this topic and proposed methods that account for velocity boundaries at the cost of significant computational complexity, which makes them inadequate for current real-time applications. The proposed method is derived from   the benchmark algorithm of Horn and Schunck   and Simoncelli’s matched-pair 5 tap filters, such that it produces robust, fast and exact detection of motion boundaries and it is very simple to implement. Experimental results using synthetic and real optical flow  image sequences are presented to demonstrate the effectiveness of our method in comparison to selected methods.
ER  -