Research on vehicle object detection in traffic video stream

Author

Zhang, Xing-Qiang

Author_Institution

Inf. Coll., Linyi Normal Univ., Linyi, China

fYear

2010

fDate

15-17 June 2010

Firstpage

1874

Lastpage

1878

Abstract

A vision based method of vehicle detection was proposed. Firstly, a improved common region algorithm to realize the background subtraction which having a better robustness and easy to determine the background image real timely. Then a threshold segmentation method is used in object extraction stage. Compared with the existing algorithm, such an iterative algorithm based on weighted average of thresholds achieved improved accuracy on background image and increased the stability of the object extraction.

Keywords

feature extraction; image segmentation; iterative methods; object detection; traffic engineering computing; vehicles; video streaming; background image; common region algorithm; iterative algorithm; object extraction; object extraction stage; threshold segmentation method; traffic video stream; vision based vehicle object detection; Data mining; Image analysis; Intelligent transportation systems; Iterative algorithms; Monitoring; Object detection; Roads; Streaming media; Vehicle detection; Vehicles; background subtraction; object extraction; threshold iterative algorithm; vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on

Conference_Location

Taichung

Print_ISBN

978-1-4244-5045-9

Electronic_ISBN

978-1-4244-5046-6

Type

conf

DOI

10.1109/ICIEA.2010.5515437

Filename

5515437