Robust moving camera calibration for synthesizing free viewpoint soccer video
Qiang Yao, Keisuke Nonaka, Hiroshi Sankoh, Sei Naito · 2016
In this paper, a robust moving camera calibration method is proposed in order to synthesize a free viewpoint soccer video with a high degree of accuracy. The main problem in video registration-based moving camera calibration is that the calibration accuracy is very low if the detected feature points are from moving objects. In order to solve this problem, the proposed method tracks the feature points along video frames to construct a trajectory matrix of feature points, and the trajectory matrix is decomposed into a low-rank matrix representing global camera motion and a sparse matrix representing local individual motion. Therefore, according to such decomposition, the individual motions of dynamic feature points that are from moving objects could be suppressed and removed. Experimental results show that the proposed method achieves more accurate calibration result and the visual quality of a synthesized free viewpoint soccer video is also improved by the proposed method.