Abstract
This paper describes a new approach for identity recognition using video sequences. While most image and video recognition systems discriminate identities using physical information only, our approach exploits the behavioural information of head dynamics; in particular the displacement signals of few head features directly extracted at the image plane level. Due to the lack of standard video database, identification and verification scores have been obtained using a small collection of video sequences; the results for this new approach are nevertheless promising.
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
Hager, G.D., Belhumeur, P.N.: Efficient region tracking with parametric models of geometry and illumination. Transactions on Pattern Analysis and Machine Intelligence 20(10), 1025–1039 (1998)
Jepson, A.D., Fleet, D.J., El-Maraghi, T.R.: Robust online appearance models for visual tracking. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), Toronto, Canada, December 8–14, 2001, vol. 1, pp. 415–422 (2001)
Birchfield, S.: Elliptical head tracking using intensity gradients and color histograms. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Stanford, USA, June 23–25, 1998, pp. 232–237 (1998)
Chen, Y., Rui, Y., Huang, T.S.: JPDAF based HMM for real-time contour tracking. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), Toronto, Canada, December 8–14, 2001, vol. 1, pp. 543–550 (2001)
Wu, Y., Huang, T.S.: A co-inference approach to robust visual tracking. In: Proceedings of the Eighth IEEE International Conference on Computer Vision (ICCV 2001), Urbana, USA, July 7–14, 2001, vol. 2, pp. 26–33 (2001)
Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(5), 564–577 (2003)
Chellappa, R., Wilson, C.L., Sirohey, S.: Human and machine recognition of faces: a survey. In: Proceedings of the IEEE, College Park, USA, May 1995, pp. 705–741 (1995)
Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face Recognition: A Literature Survey. ACM Computing Surveys 35(4), 399–458 (2003)
Li, B., Chellappa, R.: A generic approach to simultaneous tracking and verification in video. IEEE Transactions on Image Processing 11(5), 530–544 (2002)
Zhou, S., Krueger, V., Chellappa, R.: Probabilistic recognition of human faces from video. Computer Vision and Image Understanding 91(1–2), 214–245 (2003)
Lee, K., Ho, J., Yang, M., Kriegman, D.: Visual tracking and recognition using probabilistic appearance manifolds. Computer Vision and Image Understanding 99(3), 303–331 (2005)
Huang, P.S., Harris, C.J., Nixon, M.S.: Recognising humans by gait via parametric canonical space. Artificial Intelligence in Engineering 13(4), 359–366 (1999)
Hayfron-Acquah, J.B., Nixon, M.S., Carter, J.N.: Automatic gait recognition by symmetry analysis. Pattern Recognition Letters 24(13), 2175–2183 (2003)
Cunado, D., Nixon, M.S., Carter, J.N.: Automatic extraction and description of human gait models for recognition purposes. Computer Vision and Image Understanding 90(1), 1–41 (2003)
Yam, C., Nixon, M.S., Carter, J.N.: Automated person recognition by walking and running via model-based approaches. Pattern Recognition 37(5), 1057–1072 (2004)
Paalanen, P., Kämäräinen, J.K., Ilonen, J., Kälviäinen, H.: Feature Representation and Discrimination Based on Gaussian Mixture Model Probability Densities - Practices and Algorithms. In: Research report of the Lappeenranta University of Technology, no. 95 (1995)
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
Matta, F., Dugelay, JL. (2006). Person Recognition Using Human Head Motion Information. In: Perales, F.J., Fisher, R.B. (eds) Articulated Motion and Deformable Objects. AMDO 2006. Lecture Notes in Computer Science, vol 4069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11789239_34
Download citation
DOI: https://doi.org/10.1007/11789239_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36031-5
Online ISBN: 978-3-540-36032-2
eBook Packages: Computer ScienceComputer Science (R0)