DocumentCode :
1692295
Title :
Super-Resolution of Moving Vehicles Using an Affine Motion Model
Author :
Gambotto, JeanPierre ; Marraud, Denis ; Reithler, Livier
Author_Institution :
EADS Innovation Works, Suresnes, France
fYear :
2009
Firstpage :
535
Lastpage :
540
Abstract :
This study addresses the problem of motion estimation and image registration for super-resolution (SR) algorithms. It appears that, simple assumptions such as planar motion are not always appropriate for dealing with real surveillance video of unconstrained moving objects. A new SR algorithm based on an affine motion model is developed and evaluated on a database, which contains videos of urban scene. Experiments show improved SR performances with respect to methods using only planar motion.
Keywords :
image registration; image resolution; motion estimation; road vehicles; video surveillance; affine motion model; image registration; motion estimation; moving vehicle super-resolution; planar motion; video surveillance; Surveillance; Vehicles; motion estimation; super-resolution; video-surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
Conference_Location :
Genova
Print_ISBN :
978-1-4244-4755-8
Electronic_ISBN :
978-0-7695-3718-4
Type :
conf
DOI :
10.1109/AVSS.2009.76
Filename :
5279967
Link To Document :
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