关键词: 摄像机参数估计, 粒子滤波器, 运动矢量, 状态空间模型, 重采样

Abstract: For the problem of camera motion parameters estimation using motion vectors, the motion vector is taken as a state, and the block location as its state index, the state evolution equation is adaptively determined according to the local correlation of regions, the mean of absolute distortion of block matching is selected as the measurement output, and thus the state space model is established.Based on the model, the motion vector is estimated by particle filter, and resampling technology is adopted to eliminate the particle degeneracy. At last, the least square method is used to determine the optimum camera parameters according to the relationship model between motion vectors and camera parameters. Experimental results show that the proposed algorithm can obtain the motion vector field of temporal and spatial consistency with less search points, and further can estimate the camera motion parameters reflecting the true camera motion.

Key words: camera parameters estimation, particle filter, motion vector, state space model, resampling