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Proceedings Paper

Estimating 3D motion and position of a point target
Author(s): Guanghui Ouyang; Jixiang Sun; Hong Li; Wenhei Wang
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Paper 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

Paper Details

Date Published: 12 December 1997
PDF: 9 pages
Proc. SPIE 3173, Ultrahigh- and High-Speed Photography and Image-based Motion Measurement, (12 December 1997); doi: 10.1117/12.294530
Show Author Affiliations
Guanghui Ouyang, National Univ. of Defense Technology (China)
Jixiang Sun, National Univ. of Defense Technology (China)
Hong Li, National Univ. of Defense Technology (China)
Wenhei Wang, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 3173:
Ultrahigh- and High-Speed Photography and Image-based Motion Measurement
C. Bruce Johnson; Andrew Davidhazy; James S. Walton; Takeharu Goji Etoh; C. Bruce Johnson; Donald R. Snyder; James S. Walton, Editor(s)

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