NDLI: A wireless sensor network for distributed autonomous traffc monitoring

Content Provider	IEEE Xplore Digital Library
Author	Iannizzotto, G. La Rosa, F. Lo Bello, L.
Copyright Year	2010
Description	Author affiliation: VisiLAB, Faculty of Engineering, University of Messina, Italy (La Rosa, F.) \|\| Dipartimento di Ingegneria Informática, e délie Telecomunicazioni (DUT), University of Catania, Italy (Lo Bello, L.) \|\| VisiLAB, DISIA, University of Messina, Italy (Iannizzotto, G.)
Abstract	Automatic traffic monitoring and surveillance have become essential for effective road usage and management. Various sensors have been used to estimate traffic parameters, but their installation and maintenance is often difficult and costly. Among the technologies being investigated, computer vision promises the most flexible and reliable solutions to estimate traffic parameters. This paper proposes a wireless sensor network (WSN) architecture for autonomous traffic monitoring, based on computer vision techniques for automatic scene analysis and interpretation. The paper first discusses the motivation for the work and the relevant design issues. Then, the proposed architecture and the relevant modules are described in detail. Finally, experimental results are shown, which prove the accuracy of the proposed approach.
Starting Page	612
Ending Page	619
File Size	939950
Page Count	8
File Format	PDF
ISBN	9781424475605
e-ISBN	9781424475629
DOI	10.1109/HSI.2010.5514504
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-13
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Parameter estimation Sensor networks for environmental monitoring Computerized monitoring Roads Telecommunication traffic Autonomous traffic monitoring Maintenance Sensor networks for observing interactions in environments Wireless sensor networks Surveillance Computer network reliability Computer architecture Activity recognition
Content Type	Text
Resource Type	Article

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