Estimating camera parameters from motion vectors of digital video

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.