Traffic Flow Detection on Highways in the Intelligent Transportation System

Guo Fu Yin

doi:10.4028/www.scientific.net/AMR.219-220.882

Paper Titles

Adsorption Performance of Compound Adsorbent Using the Thermal Vacuum Method
p.865

Decoupling Analysis of a Four Degree-of-Freedoms Parallel Robot
p.870

Data Mining in the Research of Corporate Acquisition Performance
p.874

Research on Evolution of Chinese Telecom Industry Ecosystem Based on Logistic Model
p.878

Traffic Flow Detection on Highways in the Intelligent Transportation System
p.882

Web Recommendation Based on Unified Collaborative Filtering
p.887

Research and Application of 2D Barcode in Hospital Informatization
p.892

Impulsive and Diffusive Effects on Stability of BAM Neural Networks with Delays
p.896

Ammeter Interface Device and Monitoring System Based on Wireless Sensor Networks
p.900

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Traffic Flow Detection on Highways in the...

Traffic Flow Detection on Highways in the Intelligent Transportation System

Abstract:

A traffic flow detection method is brought forward which can adapt to Pan Tilt Zoom camera automatically.Road marks are used to establish the coordinate mapping between image and road in order to realize raffic flow statistic and traffic surveillance.Parameters are updated in time automatically when scene is changed.The system is proved to be intelligent and robust in practiceal applications.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

882-886

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.882

Citation:

Cite this paper

Online since:

March 2011

Authors:

Guo Fu Yin

Keywords:

Background Modeling, Camera Model, Object Tracking, Traffic Flow Surveillance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Yang Jun, Wang Runsheng. Research on Intelligent Traffic Video Image Processing Technology [J]. Television Technology, 2006 (9):74-77.

Google Scholar

[2] Guan Xiangrong, Ren Jinchang. The Extraction and Updating Algorithm of the Background in Video Monitoring [J]. Microelectronics and Computer, 2005, 22(1):95-97.

Google Scholar

[3] Ma Huiming. Comments on Vehicle Speed Detecting Techniques [J]. Journal of North University of China, 2007, 28:139-144.

Google Scholar

[4] ZHANG Juan, MAO Xiaobo CHEN Tiejun. Survey of moving object tracking algorithm [J].Appliacation Research of Computers 2009,26(12) 4407-4410.

Google Scholar

[5] MICHALOPOULOS P G.Vehicle detection video through imageprocessing:the autoscope system[J].IEEE Trans.Vehicular Technology,1991,40(1):21-29.

DOI: 10.1109/25.69968

Google Scholar

[6] PREVEDOUROS PD,JI Xiaojin,PAOANDEOU K.Video incident detection tests in freeway tunnels[EB/OL].[2007-11-30].http://pubsindex.trb.org/document/view/default.asp?lbid=776527.

Google Scholar

[7] HALKIAS B M,PAPANDREOU K,KOPELIAS P.Tests of automated incident detection with video image processors in attica tollway tunnels[C]//Proc.the Ninth International Conference on Applications of Advanced Technology in Transportation.[S.l.]:IEEE Press,2006:220-225.

DOI: 10.1061/40799(213)36

Google Scholar

[8] WANG Shengke,QIN Bo,FANG Zhenghua.Fast shadow detection according to the moving region[C]//Proc.the Sixth International Conference on Machine Learning and Cybernetics.[S.l.]:IEEE Press,2007:1590-1596.

DOI: 10.1109/icmlc.2007.4370399

Google Scholar

[9] LUO Xin，ZHU Qing-xin. Improved Traffic Flow Measuring System Base on Edge Detecting [J]. Computer Engineering，2006，32(9):228-229.

Google Scholar

[10] ZHANG Jie-ying.Traffic Flow Detection System Based on Video Image Processing[J]. TV Technology，2008,32(6):68-71.

Google Scholar