Abstract
Now these days, much research has been carried out on context-aware computing that is an important field in the area of ubiquitous computing, which offers a pervasive vision to implement a smart system by connecting computers, sensors and other peripherals in wired or unwired fashion. The main focus of this paper is on context modeling to design a real-time face recognition system for ubiquitous computing. In this research, a real-time framework with the combining concepts of context-awareness and genetic algorithm referred as real-time genetic algorithm (RGA) is proposed that meets the characteristics of context model and developments of a ubiquitous application. This framework is implemented on a real-time environment and a recognizable success is notified.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Liu, H., et al.: Illumination Compensation and Feedback of Illumination Feature in Face Detection. In: Proc. International Conferences on Information-technology and Information-net, Beijing, vol. 3, pp. 444–449 (2001)
Lee, J., et al.: A Bilinear Illumination Model for Robust Face Recognition. In: 10th IEEE International conference on Computer Vision (ICCV 2005) (2005)
Savvides, M., et al.: Corefaces- Robust Shift Invariant PCA based Correlation Filter for Illumination Tolerant Face Recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004) (2004)
Laiyun, et al.: Face Relighting for Face Recognition Under Generic Illumination. In: IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2004) (2004)
Wang, H., Li, S.Z., et al.: Illumination Modeling and Normalization for Face Image. In: IEEE International workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003) (2003)
Rhee, P.K., Nam, M.-Y., Jeon, I.J.: Context-Aware Evolvable System Framework for Environment Identifying Systems. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS, vol. 3682, pp. 270–283. Springer, Heidelberg (2005)
Ripley, B.D.: Pattern Recognition and Neural Networks. Cambridge University Press, Cambridge (1997)
Nam, M.-Y., Rhee, P.K.: Hybrid Filter Fusion for Robust Visual Information Processing. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds.) KES 2005. LNCS, vol. 3684, pp. 186–194. Springer, Heidelberg (2005)
Sun, J., Wu, Z.: A Comprehensive Context Model for next generation ubiquitous computing applications. In: IEEE conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005) (2005)
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
Bashar, M.R., Young, N.M., Rhee, P.K. (2006). A Context Model for Ubiquitous Computing Applications. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_15
Download citation
DOI: https://doi.org/10.1007/11893011_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
Online ISBN: 978-3-540-46544-7
eBook Packages: Computer ScienceComputer Science (R0)