Traffic Flow Detection Algorithm Based on Intensity Curve of High-Resolution Image

Author

Xiong, Changzhen ; Fan, Wuyi ; Li, Zhengxi

Author_Institution

Dept. of Autom., North China Univ. of Technol., Beijing, China

Volume

3

fYear

2010

Firstpage

159

Lastpage

162

Abstract

A new vehicle detection algorithm for high resolution images is proposed in this paper. The new method is based on intensity curve of images. It can detect the presence of vehicles via different intensity curve characters between moving objects and background. Our approach is a real-time detection algorithm. It outperforms the existing traditional algorithms, such as mixture Gaussian background model and Bayes background model. The experimental result for 20-minutes high resolution video shows that our algorithms accuracy is up to 98%.

Keywords

image resolution; traffic engineering computing; video signal processing; Bayes background model; high resolution video; high-resolution image; intensity curve; mixture Gaussian background model; real-time detection algorithm; traffic flow detection algorithm; Competitive intelligence; Detection algorithms; Image edge detection; Image resolution; Intelligent transportation systems; Object detection; Pixel; Road vehicles; Space vehicles; Vehicle detection; Vehicle detection; high-resolution images; intensity curve; moving object detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-1-4244-5642-0

Electronic_ISBN

978-1-4244-5643-7

Type

conf

DOI

10.1109/ICCMS.2010.405

Filename

5421200