Title :
Automated and accurate traffic surveillance system
Author :
Kaplan, Mehmet ; Gökmen, Muhittin
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;
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.2010.5653566
