Title :
Obedience testing of the vehicles to the traffic lights in video by image processing techniques
Author :
Morkaya, Özlem ; Korukoglu, Serdar
Abstract :
In this study, traffic light location and light color are determined to estimate whether moving vehicles obey or don´t obey the traffic light by the use of image processing techniques. Application tracks vehicles in addition, it offers a solution to the problem of passing, which is often violated, while the traffic light is red. In the literature vehicle tracking applications usually work on counting the number of cars and estimating traffic congestion. A few number of applications work on recognizing of traffic signs and implement motion analysis. Establishing a solution to the problem of vehicle passing, while light is red, is also important for driving assistance systems which are currently being developed. Proposed application, finds the count of vehicles by the use of vehicle tracking and explains the implementation of the estimation about vehicles´ obedience to the traffic light in a detailed way. Hence application implements motion analysis with the use of information about vehicle tracking and traffic light.
Keywords :
automobiles; motion estimation; road traffic; road vehicles; traffic information systems; cars; driving assistance systems; image processing techniques; light color; motion analysis; moving vehicles; traffic congestion; traffic light location; vehicle obedience testing; vehicle passing; vehicle tracking; Artificial intelligence; Classification algorithms; Conferences; Pattern recognition; Real time systems; Tracking; Vehicles;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location :
Diyarbakir
Print_ISBN :
978-1-4244-9672-3
DOI :
10.1109/SIU.2010.5654287