Title :
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
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;
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
