Title :
A new method for camera motion parameter estimation
Author :
Tan, Yap-Peng ; Kulkarni, Sanjeev R. ; Ramadge, Peter J.
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., NJ, USA
Abstract :
We derive a six parameter system to estimate and compensate the effects of camera motion-zoom, pan, tilt and swing. As compared to other existing methods, this model describes more precisely the effect of different kinds of camera motions. A recursive least-squares estimator has been used to solve for the motion parameters. Experiments suggest that our algorithm converges to satisfactory results when about 10 pairs of corresponding pairs between two image frames are available
Keywords :
cameras; convergence of numerical methods; least squares approximations; motion compensation; motion estimation; recursive estimation; algorithm; camera motion compensation; camera motion parameter estimation; convergence; experiments; image frames; pan; recursive least squares estimator; six parameter system; swing; tilt; zoom; Cameras; Computer vision; Image coding; Image converters; Marine vehicles; Motion analysis; Motion estimation; Noise robustness; Parameter estimation; Recursive estimation;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529732
