Texture segmentation and its application to road tracking

Poppinga, G. (1995) Texture segmentation and its application to road tracking. Master's Thesis / Essay, Computing Science.

Preview

Text Infor_Ma_1995_GPoppinga.CV.pdf - Published Version Download (3MB) | Preview

Abstract

The Polytechnical University in Madrid is developing a real-time system for analysing driving behaviour. The first step in thi8 project is the construction of a system for determining the lateral position of a vehicle on the road, making use of video images, for real-time as well as posterior analysis. Such a position determination might be a simple task for human beings. But for computing scientists working in the area of computer vision it is still far from obvious how to deal with this. This project tries to take the first steps in developing a system for lateral position determination, by developing a method for detecting and tracking the white restricting lines and the verges of the road throughout image sequences. This method will make use of monocular panoramic video images, taken from the viewpoint of the driver of a car. This report tries to solve the problem situations described in [Mig93], where the presented approach does not function properly in case of low contrast within the image, or absence of the white restricting lines. The problems are tried to be solved by making use of a texture segmentation method. Once the tracking of the white restricting lines and the verges of a road is possible, the corresponding lateral position of the car can easily be computed.

Item Type:	Thesis (Master's Thesis / Essay)
Degree programme:	Computing Science
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	15 Feb 2018 07:29
Last Modified:	15 Feb 2018 07:29
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/8777

Actions (login required)

View Item