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
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;
Conference_Titel :
Multimedia Signal Processing, 1998 IEEE Second Workshop on
Conference_Location :
Redondo Beach, CA
Print_ISBN :
0-7803-4919-9
DOI :
10.1109/MMSP.1998.738920
