Title :
Morphological change detection system for real time traffic analysis
Author :
S. G. Anuradha;K. Karibasappa;B. Eswar Reddy
Author_Institution :
Department of CS&E, JNTUA College of Engineering, Anantapur, India
Abstract :
Nowadays roads are getting overcrowded and the number of vehicles on the roads is increasing. The main reason is the increase in the population of metro cities, urbanization, and economical development of the country that subsequently led to the increased demand for vehicular travel. Incident detection and Traffic congestion are the serious issues in Traffic engineering applications and Intelligent Transport System. Hence the aim of proposed system is to build automatic traffic monitoring system which can replace manual traffic monitoring. The proposed mathematical morphological technique is able to detect and track the moving vehicle from the traffic video in real time and give a message to the traffic control station. It can be adopted under various traffic patterns, weather conditions, illuminations and the experimental results are demonstrated.
Keywords :
"Image edge detection","Detectors","Vehicles","Real-time systems","Monitoring","Streaming media"
Conference_Titel :
Computer Graphics, Vision and Information Security (CGVIS), 2015 IEEE International Conference on
DOI :
10.1109/CGVIS.2015.7449928