Intelligent car-searching system for large park

Author

Tan, Hua-Chun ; Zhang, Jie ; Ye, Xin-chen ; Li, Hui-ze ; Zhu, Pei ; Zhao, Qing-hua

Author_Institution

Dept. of Transp. Eng., Beijing Inst. of Technol., Beijing, China

Volume

6

fYear

2009

fDate

12-15 July 2009

Firstpage

3134

Lastpage

3138

Abstract

Find a car in large park is a challenge for intelligent parking lot management system. In this paper, an intelligent car-searching approach for large parking lot is presented. In the new approach, some cameras are set up in each road. Vision information of the car, including car color and license plate are recognized and saved in database. Considering that no license plate recognition system can 100% recognize all plates, an intelligent car searching algorithm based on the similarity of license plate recognition and color classification probabilities is proposed to sort the retrieval results. The new approach is tested in a large outdoor park. Preliminary experimental results show the efficiency of proposed car-searching system.

Keywords

image classification; image colour analysis; traffic engineering computing; car color; color classification probabilities; intelligent car-searching system; intelligent parking lot management system; license plate recognition system; Cameras; Intelligent systems; Intelligent transportation systems; Learning systems; Licenses; Process design; Roads; Space technology; Space vehicles; Vehicle driving; Color classification; Database management system; Intelligent car-searching system; License plate recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212707

Filename

5212707