Computer Vision on Embedded Sensors for Traffic Flow Monitoring

被引：15

作者：

Magrini, Massimo ^{[1
]}

Moroni, Davide ^{[1
]}

Palazzese, Giovanni ^{[1
]}

Pieri, Gabriele ^{[1
]}

Leone, Giuseppe Riccardo ^{[1
]}

Salvetti, Ovidio ^{[1
]}

机构：

[1] CNR, Natl Res Council Italy, Inst Informat Sci & Technol A Faedo ISTI, I-56100 Pisa, Italy

来源：

2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS | 2015年

关键词：

Real-Time Imaging; Embedded Systems; Intelligent Transport Systems (ITS);

D O I：

10.1109/ITSC.2015.35

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

Capillary monitoring of traffic in urban environment is key to a more sustainable mobility in smart cities. In this context, the use of low cost technologies is mandatory to avoid scalability issues that would prevent the adoption of monitoring solutions at the full city scale. In this paper, we introduce a low power and low cost sensor equipped with embedded vision logics that can be used for building Smart Camera Networks (SCN) for applications in Intelligent Transportation System (ITS); in particular, we describe an ad hoc computer vision algorithm for estimation of traffic flow and discuss the findings obtained through an actual field test.

引用

页码：161 / 166

页数：6

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