A New Head Tracking Method

Abstract:

Head tracking technique plays an important role in the modern war. Because it is directly related to target capture rate. To adapt to rapid attitude position of the helmet, a novel real-time head tracking technology based on Micro-Electro-Mechanical Systems inertial navigation system (MEMS-INS) and Charge Coupled Device (CCD) is put forward. This method not only considers the spatial limitations of the helmet, but also takes into account the complementarity between inertial method and optical method. Firstly, the fundamental principle of head attitude measurement based on MEMS-INS/CCD is introduced. The state space model of the helmet attitude measurement is then built. In the end, feasibility of this method is validated by simulation. Simulation results show that head misalignment angle error can be estimated and reaches anticipated precision2 in 10 seconds. The helmet real-time tracking can be completed.

• Periodical: Key Engineering Materials (Volumes 609-610)
• Pages: 1532-1537
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.609-610.1532
• Online since: April 2014
• Authors: Yong Jun Wang*, Jing Shuo Xu, Lin Li
• Keywords: Attitude Measurement, CCD, Head Tracking, Inertial Navigation System (INS), MEMS

References

[1] Frank J, Ferrin. Survey of helmet tracking technologies. Proc. SPIE, (1991) 86-96.

[2] Steve Robbins, Simulation and Flight Trials of a Simple Helmet Mounted Sight System Incorporating an Optical Helmet Tracking System. Proc. SPIE, (1999) 155-163.

DOI: 10.1117/12.352825

[3] C.S. WANG, D.Y. JIN, X. JIN. A Survey of Head Tracking Technology. Equipment Manufacturing Technology. No. 2 (2009) 133-154. (in Chinese).

[4] H.P. WANG, G. F. ZHANG. Video-based Head Tracking with HMD. Journal of System Simulation. Vol. 24, No. 1 (2012) 90-93. (in Chinese).

[5] Chiraz Ben, Abdelkader. Robust Head Pose Estimation Using Supervised Manifold Learning/Proceedings of the 11th European Conference on Computer Vision. Heraklion, Greece. USA: IEEE Computer Society, (2010) 518-531.

DOI: 10.1007/978-3-642-15567-3_38

[6] E Murphy-Chutorian, M M Trivedi. Head Pose Estimation in Computer Vision: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 4 (2009) 607-626.

DOI: 10.1109/tpami.2008.106

[7] L. YAN. Study and simulation of positioning Model for Image-based Helmet-mounted Sight. Electronics Optics ＆ Control. vol. 17, No. 9 (2010) 69-73. (in Chinese).

[8] Y.Y. Qin. Inertial navigation. Beijing, 2006. (in Chinese).

[9] L.L. Ai. Study of the key technologies of the exterior attitude measurement for spatial object based on linear CCD. Haerbin, 2009. (in Chinese).

[10] M. Zhong. Research on the key technologies of laser goniometry system based on the array CCD. Wuhan, 2008. (in Chinese).

[11] C. Sun. Study on the pose prediction method for moving helmet mounted sight. Tianjin, 2011. (in Chinese).

[12] C. Sun, Z. M. Zhang, P. Wang, Measuring method for the object pose based on monocular vision technology, Proceedings of SPIE International Conference on optical Metrology and Inspection for Industrial Applications, Beijing, (2010).

DOI: 10.1117/12.868984