Estimating 3D motion and position of a point target

Guanghui Ouyang; Jixiang Sun; Hong Li; Wenhei Wang

doi:10.1117/12.294530

12 December 1997 Estimating 3D motion and position of a point target

Guanghui Ouyang, Jixiang Sun, Hong Li, Wenhei Wang

Proceedings Volume 3173, Ultrahigh- and High-Speed Photography and Image-based Motion Measurement; (1997) https://doi.org/10.1117/12.294530
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

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

Citation Download Citation

Guanghui Ouyang, Jixiang Sun, Hong Li, and Wenhei Wang "Estimating 3D motion and position of a point target", Proc. SPIE 3173, Ultrahigh- and High-Speed Photography and Image-based Motion Measurement, (12 December 1997); https://doi.org/10.1117/12.294530

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