Peng-Yung Woo

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



Research Interests: Computer systems and computational processes, Neural Networks, Robotics, Systems Architecture, Image Compression, Image Manipulation, Image Processing


Peng-Yung Woo received the B.S. degree in physics /electrical engineering from Fudan University, Shanghai, China in 1982 and the M.S. degree in electrical engineering from Drexel University, Philadelphia, PA, in 1983. In 1988, he received the Ph.D. degree in system engineering from the University of Pennsylvania, PA. He joined Northern Illinois University in 1988 and is currently a Professor of Electrical Engineering. His current research interests include intelligent control, robotics, digital signal processing, neural networks, fuzzy systems and digital image processing. He has authored and co-authored over 50 international journal articles and book sections as well as over 60 international conference papers. He is a senior member of the IEEE and the member of the IASTED Standing Technical Committee. He has been the member of many International Program Committees for various IEEE and IASTED International Conferences. He is currently also an Advisory Professor of Tongji University, China.

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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Mobile Robot Path Planning with Randomly Moving Obstacles and Goal

By Vanitha Aenugu Peng-Yung Woo

DOI:, Pub. Date: 8 Mar. 2012

This article presents the dynamic path planning for a mobile robot to track a randomly moving goal with avoidance of multiple randomly moving obstacles. The main feature of the developed scheme is its capability of dealing with the situation that the paths of both the goal and the obstacles are unknown a priori to the mobile robot. A new mathematical approach that is based on the concepts of 3-D geometry is proposed to generate the path of the mobile robot. The mobile robot decides its path in real time to avoid the randomly moving obstacles and to track the randomly moving goal. The developed scheme results in faster decision-making for successful goal tracking. 3-D simulations using MATLAB validate the developed scheme.

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Other Articles