DETERMINATION AND IDENTIFICATION OF DANGEROUSLY LANE CHANGING VEHICLES IN TRAFFIC BY IMAGE PROCESSING TECHNIQUES
Date
2017-04-04
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Scientific Research in Information Systems and Engineering
Abstract
Due to increase of vehicle usage all around the world, the importance of safety driving in traffic is increasing. All of
the countries around the world are taking actions to increase the safety driving habitats and decrease the number of
traffic accidents. One of the applied precautions is to put necessary automatic auditing mechanisms into service for
controlling the drivers as they drive since reckless drivers may not obey many traffic rules. In this study, image and
video processing based methods are applied to identify the dangerously lane changing vehicles/drivers in the traffic.
The proposed method focuses on to detect three different violations in traffic: the vehicles frequently changing
traffic lanes, the vehicles changing lanes when it is forbidden, and the vehicles overtaking the other vehicles using
the right lanes instead of left one. The proposed method is based on the image and video processing techniques. It
first detects the vehicles in video sequences, then tracks the vehicles in the following frames and determines the lane
changes of the vehicles. In the vehicle detection phase an image subtraction method is used. In the vehicle tracking
phase, Kalman filtering tracking algorithm is used. After determining the lane changes of the vehicles/drivers, a rule
based decision system is used to find out the vehicles/drivers improperly changing lanes and those vehicles are
marked on the video. The proposed method is tested on the videos captured from real traffic environments and
promising results are obtained.
Description
Keywords
computer engineering