2017
Journal article  Open Access

An intelligent cooperative visual sensor network for urban mobility

Leone G. R., Moroni D., Pieri G., Petracca M., Salvetti O., Azzarà A., Marino F.

Visual sensor networks  embedded vision  Article  real time image processing  and Optics  intelligent transportation systems  Instrumentation  Real time image processing  IoT Middleware  Biochemistry  Internet of Things  [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing  [ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]  [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]  Intelligent transportation systems  Atomic and Molecular Physics  Electrical and Electronic Engineering  Analytical Chemistry  Embedded vision  visual sensor networks  internet of things  smart cities  IoT middleware  Visual Sensor Networks 

Smart cities are demanding solutions for improved traffic efficiency, in order to guarantee optimal access to mobility resources available in urban areas. Intelligent video analytics deployed directly on board embedded sensors offers great opportunities to gather highly informative data about traffic and transport, allowing reconstruction of a real-time neat picture of urban mobility patterns. In this paper, we present a visual sensor network in which each node embeds computer vision logics for analyzing in real time urban traffic. The nodes in the network share their perceptions and build a global and comprehensive interpretation of the analyzed scenes in a cooperative and adaptive fashion. This is possible thanks to an especially designed Internet of Things (IoT) compliant middleware which encompasses in-network event composition as well as full support of Machine-2-Machine (M2M) communication mechanism. The potential of the proposed cooperative visual sensor network is shown with two sample applications in urban mobility connected to the estimation of vehicular flows and parking management. Besides providing detailed results of each key component of the proposed solution, the validity of the approach is demonstrated by extensive field tests that proved the suitability of the system in providing a scalable, adaptable and extensible data collection layer for managing and understanding mobility in smart cities.

Source: Sensors (Basel) 17 (2017). doi:10.3390/s17112588

Publisher: Molecular Diversity Preservation International (MDPI),, Basel


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BibTeX entry
@article{oai:it.cnr:prodotti:380093,
	title = {An intelligent cooperative visual sensor network for urban mobility},
	author = {Leone G.  R. and Moroni D. and Pieri G. and Petracca M. and Salvetti O. and Azzarà A. and Marino F.},
	publisher = {Molecular Diversity Preservation International (MDPI),, Basel },
	doi = {10.3390/s17112588},
	journal = {Sensors (Basel)},
	volume = {17},
	year = {2017}
}

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Intelligent Cooperative Sensing for Improved traffic efficiency


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