Computer Science Colloquium

This work presents a laser intensity image based algorithm for automatic vehicle classification system (AVC) on highways. The algorithm performs line by line processing of laser intensity images, produced by laser sensory units, and extracts vehicle features used for the classification. The features include vehicle length, width, height, speed, and some distinguishable patterns in the vehicle profile. The proposed technique outperforms the range data technique in deteriorated atmospheric conditions (such as rain and fog). A software package with a graphical user interface has been developed to illustrate the usage of the classification algorithm and to evaluate its performance. This work was supported by Schwartz Electro-Optics (SEO) Inc., Orlando, Florida.

Dr. Hossam Abdelbaki

Affiliation: Assistant professor at EE department, Alexandria University, Alexandria, Egypt.

Experience : - Research scholar at the ECE dept., Duke University, Durham, NC - Research scholar at the CS dept., University of Central Florida, Orlando, Florida.

Research Interests: Image processing, neural networks, Implementation of real time algorithms on embedded micro-controller systems.