Estimating 3D motion and position of a point target
Guanghui Ouyang, Jixiang Sun, Hong Li, Wenhei Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
Estimating motion parameters and spatial position of object is very important in target tracking and computer vision. The constraint for obtaining 3D motion and coordinates from a monocular image sequence is first presented and proved in this paper. With this constraint, a nonlinear recursive filtering algorithm for estimating 3D motion parameters and 3D spatial position of a point target from monocular images has been proposed. The performance of the proposed technique on simulated image sequence is also involved. Keywords: image analysis, motion estimation, recursive filtering