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 6^th 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 7^th 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.