DocumentCode
3367074
Title
Automated and accurate traffic surveillance system
Author
Kaplan, Mehmet ; Gökmen, Muhittin
fYear
2010
fDate
22-24 April 2010
Firstpage
304
Lastpage
307
Abstract
In this work, a traffic surveillance system, which contains background subtraction, occlusion handling and tracking steps, is designed in order to extract traffic parameters from low resolution video sequences. In every step, utilized algorithms are improved and more accurate results than existing approaches are obtained. Additionally, a new automatic Region of Interest detection approach is proposed to make the system fully automated.
Keywords
computer graphics; image resolution; image sequences; traffic engineering computing; video surveillance; automatic region of interest detection approach; background subtraction; low resolution video sequences; occlusion handling; tracking steps; traffic parameters; traffic surveillance system; Gallium; Histograms; Real time systems; Streaming media; Support vector machines; Surveillance; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location
Diyarbakir
Print_ISBN
978-1-4244-9672-3
Type
conf
DOI
10.1109/SIU.2010.5653566
Filename
5653566
Link To Document