TITLE:
Automatic Traffic Using Image Processing
AUTHORS:
Al Hussain Akoum
KEYWORDS:
Automatic Traffic, Computer Vision, Image Processing, Edge Detection
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.10 No.9,
August
14,
2017
ABSTRACT:
The frequent traffic jams at major intersections call for an effective management
system. The paper suggests implementing a smart traffic controller using
real-time image processing. The sequence of the camera is analyzed using
different edge detection algorithms and object counting methods. Previously
they used matching method that means the camera will be installed along with
traffic light. It will capture the image sequence. To set an image of an empty
road as a reference image, the captured images are sequentially matched using
image matching; but in my paper, we used filtering method, which filtered the
image and released all waste objects and only showed the cars, and after it well
showed the number of cars in image. My paper is software that takes a picture
or video. It has been customized to be used in the future to control the traffic
light sign by giving each sign sufficient time, depending on the number of cars
on each direction.