Abstract
This paper proposes a new method of estimating 3D head positions using a single omnidirectional camera for non-intrusive biometric systems; in this case, non-intrusive iris recognition. The proposed method has two important advantages over previous research. First, previous researchers used the harsh constraint that the ground plane must be orthogonal to the camera’s optical axis. However, the proposed method can detect 3D head positions even in non-orthogonal cases. Second, we propose a new method of detecting head positions in an omnidirectional camera image based on a circular constraint. Experimental results showed that the error between the ground-truth and the estimated 3D head positions was 14.73 cm with a radial operating range of 2-7.5 m.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhou, X., Collins, R., Kanade, T., Metes, P.: A Master-Slave System to Acquire Biometric Imagery of Humans at Distance. ACM Intern. Work. on Video Surveillance (2003)
Jankovic, N., Naish, M.: Developing a Modular Active Spherical Vision System. In: Proc. IEEE Intern. Conf. on Robotics and Automation, pp. 1246–1251 (2005)
Greiffenhagen, M., Comaniciu, D., Niemann, H., Ramesh, V.: Design, Analysis and Engineering of Video Monitoring Systems: An Approach and a Case Study. Proc. of IEEE on Third Generation Surveillance Systems 89(10), 1498–1517 (2001)
Chen, X., Yang, J., Waibel, A.: Calibration of a Hybrid Camera Network. In: Proc. of ICCV, pp. 150–155 (2003)
Cui, Y., Samarasckera, S., Huang, Q., Greiffenhagen, M.: Indoor monitoring via the collaboration between a peripheral sensor and a foveal sensor. IEEE Work on Surveillance, 2–9 (1998)
Fancourt, C., Bogoni, L., Hanna, K., Guo, Y., Wiles, R.: Iris Recognition at a Distance. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 1–13. Springer, Heidelberg (2005)
Guo, G., Jones, M., Beardsley, P.: A system for automatic iris capturing, Technical Report TR2005-044 Mitsubishi Electric Research Laboratories (2005)
Iris recognition on the move, Biometric Technology today (November/December 2005)
Bae, K., Lee, H., Noh, S., Park, K., Kim, J.: Non-intrusive Iris Recognition Using Omnidirectional Camera. In: ITC-CSCC 2004 (2004)
Benosman, R., Kang, S.: Panoramic Vision: Sensors, Theory and Applications. Springer, Heidelberg (2001)
Geyer, C., Daniilidis, K.: Paracatadioptric camera calibration. IEEE Transactions on PAMI 24(5), 687–695 (2002)
Wren, C., Azarbayejani, A., Darrel, T., Pentland, A.: PLnder: Real-time tracking of the human body. In: Proc. Automatic Face and Gesture Recognition, pp. 51–56 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bae, K., Park, K.R., Kim, J. (2006). 3D Head Position Estimation Using a Single Omnidirectional Camera for Non-intrusive Iris Recognition. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_24
Download citation
DOI: https://doi.org/10.1007/11848035_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39392-4
Online ISBN: 978-3-540-39393-1
eBook Packages: Computer ScienceComputer Science (R0)