PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Magrini M., Moroni D., Palazzese G., Pieri G., Salvetti O., Leone G. Computer Vision on Embedded Sensors for Traffic Flow Monitoring. In: ITSC - IEEE 18th International Conference on Intelligent Transportation Systems (Gran Canaria, Spain, 15-18 September 2015). Proceedings, pp. 161 - 166. IEEE Computer Society Conference Publishing Services (CPS), 2015.
 
 
Abstract
(English)
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.
DOI: 10.1109/ITSC.2015.35
Subject Embedded Systems
Intelligent Transport Systems
Real-time imaging
C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS
I.2.10 Vision and Scene Understanding
I.4.8 Scene Analysis
I.5.4 Applications
68W27 Online algorithms
68N30 Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.)
68T45 Machine vision and scene understanding


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