Abstract:
As the problem oftraffic obstruction is increasing, there is a need for the introduction
ot advanced technology and equipment to improve the state oftraffic control. The
pro em oftraffic controls nowadays is increasing because ofthe growing number of
vehicles and the limited resources provided by current infrastructures. The simplest
way for controlling a traffic light uses timer for each stage. Another way is to control
the traffic by using equipment to detect the vehicles. We propose a system for
controlling the traffic light by image processing. The system will detect vehicles
using some techniques to control the traffic light. A camera will be installed along
with the traffic light. It will detect the vehicles. The captured images will be analysed
to using the techniques ofimage processing for the detection ofvehicles.
The objective ofthis project is to control the traffic light using image processing by
applying different algorithms. This project basically uses the image processing
techniques to count and the detection ofthe cars to control the traffic signal.
This report explores different techniques for counting number ofcars like we have
used the Gaussian Mixture Model for detection of cars and blob detection technique
to count the number of cars
