References

1. Iu SL, Wohn K. Estimation of General Rigid Body Motion from a long Sequence of Images. Technical Report, Department of Computer Science, University of Pennsylvania; 1990.

2. Lee JW, Kim MS, Kweon IS. A Kalman filter based visual tracking algorithm for an object moving in 3D. IROS ’95 Proceedings International Conference on Intelligent Robots and Systems, Vol. 1; 1995.

3. Gennery DB. Visual tracking of known three-dimensional objects. Int. J. Comput. Vision 1992;7(3): 243–270.

4. Huang TS, Netravali AN. Motion and structure from feature correspondences: a review. Proc. IEEE 1994;82 (2): 252–268.

5. Ude A. Filtering in a unit quaternion space for model-based object tracking. Robot. Autonom. Syst. 1999:20; 163–172.

6. Halvorsen K, Söderström T, Stokes V, and Lanshammer H. Using an extended Kalman filter for rigid body pose estimation. J. Biomech. Eng. 2005:1

7. [yyy]27; 475–483.

8. Algrain MC, Saniie J. Estimation of 3D Angular motion using gyroscopes and linear accelerometers. IEEE Trans. Aero. Electron. Syst. 1991;27(6): 910–920.

9. Marins JL, Yun X, Bachmann ER, McGhee RB, and Zyda MJ. An extended Kalman filter for quaternion-based orientation estimation using MARG Sensors. In Proceedings of the 2001 International Conference on Intelligent Robots and Systems, 2001, pp. 2003–2011.

10. Yun X, Lizarraga M, Bachmann ER, McGhee RB. An improved quaternion-based filter for real-time tracking of rigid body orientation. In Proceedings of the 2003 International Conference on ...

Get Bayesian Estimation and Tracking: A Practical Guide now with the O’Reilly learning platform.

O’Reilly members experience live online training, plus books, videos, and digital content from nearly 200 publishers.