Khalid Youssef

Work place: Department of Electrical Engineering, Northern Illinois University, Dekalb, IL 60115, USA



Research Interests: Neural Networks, Image Compression, Image Manipulation, Computer Networks, Image Processing, Control Theory


Khalid Youssef received his M.S. degree in electrical engineering from Northern Illinois University, IL, USA in 2010. During his Master’s education, he did research on robotic control, fuzzy systems, neural networks and image processing, and co-authored international journal articles and international conference papers. Currently, he is a Ph.D. candidate in electrical engineering in University of California (Los Angeles).

Author Articles
Difference of the Absolute Differences – A New Method for Motion Detection

By Khalid Youssef Peng-Yung Woo

DOI:, Pub. Date: 8 Aug. 2012

This article presents a new method, which reduces costs and processing time for spatial object motion detection by focusing on the bare-hand motion that mimics computer mouse functions to allow the user to move the mouse pointer in real-time by the motion of his/her hand without any gloves worn, any object carried, or any key hit. In this article, the study of this topic is from the viewpoint of computer vision and image processing. The principals of the difference of the absolute differences (DAD) are investigated. A new method based on the DAD principles, which is conceptually different from all the existing approaches to spatial object motion detection, is developed and applied successfully to the bare-hand motion. The real-time implementation of the bare-hand motion detection demonstrates the accuracy and efficiency of the DAD method.

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