DocumentCode
2466364
Title
Estimating camera parameters from motion vectors of digital video
Author
Park, Jong-II ; Inoue, Seiki ; Iwadate, Yuichi
Author_Institution
ATR Media Integration & Commun. Res. Labs., Kyoto, Japan
fYear
1998
fDate
7-9 Dec 1998
Firstpage
105
Lastpage
110
Abstract
In the development of a method of estimating the global camera motion from encoded video, we propose a robust estimation based on an outlier rejection scheme. The extended Kalman filter and the Levenberg-Marquardt method are implemented for the estimation. Both implementations show promising results, but from a computational aspect, the LM method is more efficient than the extended Kalman filter in our implementation
Keywords
Kalman filters; filtering theory; image motion analysis; image sequences; motion estimation; nonlinear filters; video cameras; video coding; Levenberg-Marquardt method; camera parameters estimation; digital video; encoded video; extended Kalman filter; global camera motion estimation; image sequences; motion vectors; outlier rejection; robust estimation; video camera; Computer vision; Decoding; Digital cameras; Image sequences; Motion estimation; Parameter estimation; Robot vision systems; Robustness; Video coding; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 1998 IEEE Second Workshop on
Conference_Location
Redondo Beach, CA
Print_ISBN
0-7803-4919-9
Type
conf
DOI
10.1109/MMSP.1998.738920
Filename
738920
Link To Document