Title :
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
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;
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
DOI :
10.1109/ICMLC.2009.5212707
