NDLI: Automatic Vehicle Classification Based on Video with BP Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Xiaobin Li Hui Fu Jianmin Xu
Copyright Year	2008
Description	Author affiliation: Sch. of Traffic & Commun., South China Univ. of Technol., Guangzhou (Xiaobin Li)
Abstract	The classification and statistics of the vehicles type in the road section are important parameters for the traffic management and control. The paper put forward the vehicle classification using image invariant moment and BP neural networks. First of all, road background is rebuild according to the serials images, and the background differences are used to segment vehicle region, invariant moment features are extracted for each vehicle region. The invariant moment features of vehicle will be the input of BP neural networks with three layers, and the vehicle type is classified according to the output of the BP neural networks. The test has verified the validity of this method.
Starting Page	1
Ending Page	3
File Size	164303
Page Count	3
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.3060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared detectors Intelligent vehicles Neural networks Road vehicles Transportation Automated highways Automatic control Communication system traffic control Calibration Statistics
Content Type	Text
Resource Type	Article

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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
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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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Automatic Vehicle Classification Based on Video with BP Neural Networks