This paper proposes a video based method of driver drowsiness detection using a SVM classifier. The SVM classifier uses several physiological features extracted from the video input. The features are extracted using rudimentary image processing techniques

Recently there is an increase in number of cases of parents that forget their child in hot cars. In every ten days a child dies from vehicular heatstroke and since 1998 there have been 575 deaths in the United States alone. In those years 160 cases of children being forgotten in cars

Our project implements a handwriting recognition system. Our system is made of a hierarchical multiclass SVM based classifier which tries to classify each of the input letters by itself. And a dictionary comparison system which checks classified words against a dictionary file to see

How many times have you entered a web page in the Internet, but instead of easily read the page content, annoying advertisements drew away your attention?

This project won the Distiguished Project Award of VISL 2005

The security demands are increasing nowdays and finding useful trustful algorithms to prevent/identify unwelcomed visitors is very important. Iris Recognition is one of those methods. It based on the fact that every eye has a unique characteristics (in its Iris)

The area of Digital Terrain Model matching has been neglected for the last decade. Not many have tried to deal with this interesting and practical problem. The project is based on the work of J.J. Rodriguez and J.K. Aggarwal in 1990

Many accidents happen as a result of problematic field of view in a junction with no traffic lights. The aim of this project was to develop an application that calculates the velocity of vehicles entering a junction and to warn the crossing vehicles if they may be in danger

Most solutions problems such as the automatic traffic light for pedestrians requires object detection and tracking algorithms. In this work detection is made on a gray level images. The SUSAN algorithm give a good answer for the distinction of the pedestrians from their surroundings

In the framework of developing a control system for a parking-lot, it is important to know the number of vehicles parking in the different areas of the lot. In addition, it is important to identify "sneaking" vehicles: those entering the parking lot when the barrier is already open