Title :
Traffic Flow Surveillance System for Urban Intersections
Author :
Zhang, Ying ; Wang, Shengjin ; Ding, Xiaoqing
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
Abstract :
This paper presents an automatic traffic surveillance system which is utilized to monitor the traffic intersections. Moving vehicles are extracted accurately from video sequences based on improved background modeling and object tracking method. In this paper, 16 types of general traffic behaviors at intersections are specifically defined and the traffic information collected from the tracking results is used to monitor them. The obtained information of the traffic flow at intersections can be utilized in intelligent traffic management to increase the efficiency and optimize spatial resources of urban road traffic infrastructures.
Keywords :
automated highways; feature extraction; image sequences; surveillance; video signal processing; improved background modeling; intelligent traffic management; object tracking method; traffic flow surveillance system; traffic intersection monitoring; urban intersections; video sequences; Computerized monitoring; Data mining; Intelligent transportation systems; Object detection; Radar tracking; Road accidents; Surveillance; Traffic control; Vehicle detection; Video sequences; background modeling; intersection; tracking; traffic behavior definition; traffic flow surveillances;
Conference_Titel :
MultiMedia and Information Technology, 2008. MMIT '08. International Conference on
Conference_Location :
Three Gorges
Print_ISBN :
978-0-7695-3556-2
DOI :
10.1109/MMIT.2008.44