Previous algorithms that recover camera motion from image velocities sufferfrom both bias and excessive variance in the results. We propose a robust estimator of camera motion tha...
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 m...
Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadg...
The power consumption of video enabled mobile devices is an ongoing challenge. The computational burden caused by the motion estimation process involved in video compression is th...
This paper presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degr...
In this paper we propose a novel algorithm to estimate motion parameters from a single blurred image, exploiting geometrical relations between image intensities at pixels of a reg...