Robust 3-D Camera Motion Parameter Estimation with Applications to Video Coding

In this paper, we present the estimation method of global motion parameters corresponding to 3D camera motion in the noisy situation. Total least squares problem is first formulated to represent the global motion parameters estimation procedure from the noise-corrupted image coordinates. Then, a recursive total least squares (RTLS) algorithm is proposed to estimate 3D camera motion parameters in image sequences. The algorithm is proposed based on a five camera parameter model: zoom, focal length, pan, tilt, and swing. The experimental results show that the proposed RTLS algorithm has better performance than the conventional linear algorithms in the measurement noisy environments.