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Proceedings Paper

Head attitude tracking based on EKF
Author(s): Kai Ma; Quanxin Ding; Quizhi Zhang; Jinfeng Zhang
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Paper Abstract

As there exists a high mean-square error for the monocular vision PNP algorithms in solving the problem of continuous head attitude tracking especially at certain relative orientations, this paper presented a new refinement method based on Extended Kalman Filter. Firstly, three Euler angles of head pose were computed by P4P algorithm, and then continuous movement parameters of the head were estimated in the EKF framework through introducing the nonlinear model of head movements. Simulation results indicated that the proposed approach can further improve the precision of the head attitude tracking.

Paper Details

Date Published: 15 October 2012
PDF: 7 pages
Proc. SPIE 8417, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 84171P (15 October 2012); doi: 10.1117/12.978695
Show Author Affiliations
Kai Ma, Science and Technology on Electro-optic Control Lab. (China)
Quanxin Ding, Science and Technology on Electro-optic Control Lab. (China)
Quizhi Zhang, Science and Technology on Electro-optic Control Lab. (China)
Jinfeng Zhang, Science and Technology on Electro-optic Control Lab. (China)


Published in SPIE Proceedings Vol. 8417:
6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; Libin Xiang; Sandy To, Editor(s)

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