The research of vehicle model feature extraction

Author

Li, Xiaoping ; Liu, Luyang ; Xu, Jianqiang ; Li, Yinxiang

Author_Institution

Dept. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China

fYear

2010

fDate

11-13 May 2010

Firstpage

364

Lastpage

369

Abstract

Vehicle identification is one of the key technologies to achieve road transport automation and the deep research of this technology has important practical significance to the development of intelligent transportation. Because image backgrounds of car models are complex, and the count of car models is too large, model identification has long been a research hotspot and difficult. This paper mainly studies how to reasonably extract vehicle model features from images conducts related experiments and obtains experimental results.

Keywords

automated highways; feature extraction; image recognition; road vehicles; car models; intelligent transportation; road transport automation; vehicle identification; vehicle model feature extraction; Communication system traffic control; Computer science; Data mining; Feature extraction; Intelligent sensors; Intelligent transportation systems; Target recognition; Traffic control; Vehicles; Wavelet transforms; feature extraction; identification; intelligent transportation; vehicle model features;

fLanguage

English

Publisher

ieee

Conference_Titel

New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on

Conference_Location

Gyeongju

Print_ISBN

978-1-4244-6982-6

Electronic_ISBN

978-89-88678-17-6

Type

conf

Filename

5488592