DocumentCode :
1807994
Title :
The theorem analysis on optical flow estimation from three frames of image sequences
Author :
Wu, Liu ; Jian, Liu ; Faguan, Wan
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
1988
fDate :
14-17 Nov 1988
Firstpage :
1103
Abstract :
The method presented, based on three frames of an image sequence, avoids using any supplementary constrained requirement such as smoothness requirement. According to the inertia theorem in kinematics, the velocity of an object point is considered constant during the three consecutive images, so that the acceleration of the moving object point is set to zero. A series of simple operations lead to a second-order equation about the component U of displacement vector. A discrimination function is established to select one accurate solution from the two equations´ solutions. Another component, V, can be derived from the original line-constrained equation
Keywords :
picture processing; discrimination function; image sequence; inertia theorem; kinematics; line-constrained equation; optical flow estimation; picture processing; Acceleration; Brightness; Constraint theory; Equations; Image analysis; Image motion analysis; Image sequence analysis; Image sequences; Information analysis; Kinematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
Type :
conf
DOI :
10.1109/ICPR.1988.28453
Filename :
28453
Link To Document :
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