Urban Traffic Monitoring System

Traffic video analysis is a challenging problem: crowded moving vehicles with various appearances, illumination changes, and speed variations according to the traffic flow. In this paper, we propose an efficient single-camera Traffic Monitoring System (TMS), which is capable of automatically analyzi...

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Bibliographic Details
Published inAdvanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence pp. 573 - 580
Main Authors Tang, Nam, Do, Cuong, Dinh, Tien Ba, Dinh, Thang Ba
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2012
SeriesLecture Notes in Computer Science
Subjects
background subtraction
clustering object
density
monitoring system
Traffic flow
velocity
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Summary:Traffic video analysis is a challenging problem: crowded moving vehicles with various appearances, illumination changes, and speed variations according to the traffic flow. In this paper, we propose an efficient single-camera Traffic Monitoring System (TMS), which is capable of automatically analyzing the vehicles flow on urban streets in real time. The system has three main modules included calculating density of vehicles based on background subtraction methods, estimating average speed of traffic flow using optical flow method and counting the number of vehicles on the street by clustering motion features relied on Delaunay Triangulation algorithm. From that fundamental information, our system infers several high semantic events such as traffic jams, breaking-law vehicles, people crossing street. Experiments are demonstrated in real-life scenarios with heavy traffic in Ho Chi Minh City, Vietnam.
ISBN:364225943X
9783642259432
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-25944-9_74