Sample Publications:
Journal Publications:
- A. Elgammal, R. Duraiswami, D. Harwood
and L. S. Davis “Background and Foreground Modeling using
Non-parametric Kernel Density Estimation for Visual Surveillance”, Proceedings of the IEEE, July 2002.
- A. Elgammal, R. Duraiswami and L. S.
Davis “Efficient Kernel Density Estimation Using the Fast Gauss
Transform for Computer Vision” submitted to the IEEE transactions on
Pattern Analysis and Machine Intelligence.
Conference Publications:
- Ahmed Elgammal, Ramani Duraiswami and
Larry S. Davis, “Efficient Non-parametric Adaptive Color Modeling Using
Fast Gauss Transform” IEEE conference on Computer Vision and Pattern
Recognition, Kauai, Hawaii, December 2001. [PDF],
[PS]
- Ahmed Elgammal and Larry S. Davis, “Probabilistic
Framework for Segmenting People Under Occlusion”, The Eighth IEEE
International Conference on Computer Vision, Vancouver, Canada July 9-12,
2001. [PDF],
[PS]
- Ahmed Elgammal, Ramani Duraiswami and
Larry S. Davis, “Efficient Computation of Kernel Density Estimation
using Fast Gauss Transform with Applications for Segmentation and Tracking”,
Second
International Workshop on Statistical and Computational Theories of Vision,
with The Eighth IEEE International Conference on Computer Vision,
Vancouver, Canada July 13, 2001.
- Ahmed Elgammal, David Harwood, Larry
Davis, “Non-parametric Model for Background Subtraction”, 6th
European Conference on Computer Vision. Dublin, Ireland, June/July 2000. [PDF]
- Mohamed Abdelmoteleb and Ahmed
Elgammal, “Face Detection in Complex Environment from Color Images”,
IEEE 6th International Conference on Image Processing, Kobe,
Japan, October 1999
- Ahmed Elgammal, David Harwood, Larry
Davis, “Non-parametric Model
for Background Subtraction” IEEE ICCV99 Frame Rate Workshop. IEEE 7th
International Conference on Computer Vision. Kerkyra, Greece, September
1999. [URL]
[PDF]
- Ahmed Elgammal and Mohamed A. Ismail,
“Techniques for Language Identification for Hybrid Arabic-English
Document Images”, Sixth International Conference on Document Analysis
and Recognition, Seattle, Washington, U.S.A. September 10-13, 2001.
- Ahmed Elgammal and Mohamed A. Ismail,
“A Graph-Based Segmentation and Feature-extraction Framework for Arabic
Text Recognition”, Sixth International Conference on Document Analysis
and Recognition, Seattle, Washington, U.S.A. September 10-13, 2001.
- Ahmed Elgammal, Mohamed Ismail, “Discrimination
between Arabic and English Text in Bilingual Image Documents”,
SCI2000/ISAS2000 Orlando, USA, July 2000.
Other Publications:
- Ph. D. dissertation, “Efficient
Nonparametric Kernel Density Estimation for Real-time Computer Vision”, Department
of computer science, University of Maryland, College Park, 2002.
- “Real-time
algorithms for visual surveillance” Department of computer science
technical report CS-TR # 4314. University of Maryland, College Park.
- M.Sc.
thesis “Bilingual (Arabic/Latin)
Document Image analysis with Font independent Arabic Character
Recognition”, Faculty of Engineering, University of Alexandria. July 1996.