DocumentCode :
3151737
Title :
Simultaneous estimation of optical flow and 3D-motion parameters
Author :
Kawakami, Tomoya ; Yamaguchi, Teruo ; Harada, Hiroshi
Author_Institution :
Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto
fYear :
2008
fDate :
20-22 Aug. 2008
Firstpage :
568
Lastpage :
571
Abstract :
Spatiotemporal gradient method is one of the methods to measure the velocity distribution (optical flow). This method utilizes the optical flow constraint that gradient and temporal derivative of image are related with flow velocity by a constraint equation, which is often referred to as optical flow equation. The method is effective in real-time visual sensing. However, the optical flow equation had a problem that it was necessary to assume that the motion of the target is translation even when it contains 3D-rotation or divergence in moving image. In this paper, we suggest the method that can estimate 3D motion parameters and optical flow at the same time by approximating the surface of interest on the object by tangential plane, and representing the 3D motion of objects.
Keywords :
approximation theory; gradient methods; image representation; image sequences; motion estimation; object detection; spatiotemporal phenomena; surface fitting; 3D object motion represention; 3D-motion parameter; 3D-moving image rotation; image optical flow estimation; moving image divergence; optical flow constraint equation; real-time visual sensing; spatiotemporal gradient method; surface approximation; velocity distribution measure; Angular velocity; Differential equations; Fluid flow measurement; Gradient methods; Image motion analysis; Motion estimation; Optical sensors; Parameter estimation; Spatiotemporal phenomena; Velocity measurement; 3D-Motion Parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
Type :
conf
DOI :
10.1109/SICE.2008.4654720
Filename :
4654720
Link To Document :
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