Abstract:
One important application of image processing and computer vision is traffic
monitoring and control. This report presents a system for detection of moving vehicles
approaching an intersection from color images acquired by a stationary camera in the
context of traffic light control systems. Traffic engineers require various types of road
traffic data to manage the traffic. The current sensors (inductive loops and axle sensors
etc.) cannot collect all the data that are of interest to traffic engineers. Most important of
all, if the data is to be collected at a different location, the installation of these
equipments, which needs to be buried beneath the road, creates serious traffic
disturbances. In order to overcome the above problems, many researchers have used
vision-based system for collecting and analyzing road traffic data. In this project we use
morphological edge detection techniques to detect vehicles. Once the vehicles have
been detected, this information is used for calculating various traffic parameters. This
method has been implemented on a Pentium-based microcomputer. We also have
compared our system with traditional image processing based systems and the results
indicate that our proposed system provides better results than the traditional image
processing based systems.
