NDLI: A vehicle retrieval and recognition system based on smart phones

Content Provider	IEEE Xplore Digital Library
Author	Pei, Wei Jia, Xiao Huang, Xinguan Lu, Mingyu Fu, Yingliang Zhu, Yongying
Copyright Year	2015
Description	Author affiliation: Ocean and Civil Engineering Department, Dalian Ocean University, Dalian, Liaoning Province, China (Zhu, Yongying) \|\| Information Science & Technology College, Dalian Maritime University, Dalian, Liaoning Province, China (Jia, Xiao; Huang, Xinguan; Lu, Mingyu; Fu, Yingliang) \|\| Environmental Science and Engineering College, Dalian Maritime University, Dalian, Liaoning Province, China (Pei, Wei)
Abstract	Traditional vehicle recognition and retrieval systems are almost based on vehicle license plate recognition, which requires the user to provide images containing the license plate of the vehicle. In order to recognize and retrieve vehicles more convenient and efficient, and solve the problem of missing or wrong license plate, this paper proposes a method based on the overall appearance characteristics of the vehicles. The proposed system using a smart phone camera to collect vehicle images and uploads the images to the server through 4G network. The server performs vehicle retrieval and recognition and sends the results back to the phone. To reduce the amount of calculation and improve the accuracy of system, saliency areas of training images are extracted, A hessian-affine detector is used to detect the features of the input image and the SIFT descriptor transforms each feature into a 128-dimensional vector which is finally quantized as "visual word", the ACS (Adjusted Cosine Similarity) and SVM methods are also adopted. The experiments show that the precision of the vehicle recognition is above 96%, and this system has good real-time performance.
Starting Page	527
Ending Page	532
File Size	1134656
Page Count	6
File Format	PDF
e-ISBN	9781467390989
DOI	10.1109/CISP.2015.7407936
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization saliency areas Licenses smart phone SVM Servers Vehicles Training ACS Feature extraction vehicle retrieval vehicle recognition Smart phones
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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