Articolo in rivista, 2011, ENG, 10.1134/S1054661811010093

Visual sensor networks for infomobility

Magrini M., Moroni D., Nastasi C., Pagano P., Petracca M., Pieri G., Salvadori C.,Salvetti O.

CNR-ISTI, Pisa, Italy; Scuola Superiore Sant'Anna, Pisa, Italy

The wide availability of embedded sensor platforms and low-cost cameras-together with the developments in wireless communication-make it now possible the conception of pervasive intelligent systems based on vision. Such systems may be understood as distributed and collaborative sensor networks, able to produce, aggregate and process images in order to understand the observed scene and communicate the relevant information found about it. In this paper, we investigate the peculiarities of visual sensor networks with respect to standard vision systems and we identify possible strategies to accomplish image processing and analysis tasks over them. Although the rather strong constraints in computational and transmission power of embedded platforms that may prevent the use of state of the art computer vision and pattern recognition methods, we argue that multi-node processing methods may be envisaged to decompose a complex task into a hierarchy of computationally simpler problems to be solved over the nodes of the network. These ideas are illustrated by describing an application of visual sensor network to infomobility. In particular, we consider an experimental setting in which several views of a parking lot are acquired by the sensor nodes in the network. By integrating the various views, the network is capable to provide a description of the scene in terms of the available spaces in the parking lot.

Pattern recognition and image analysis 21 (1), pp. 20–29

Keywords

Image mining; Sensor networks; Infomobility; Object detection; Change detection; I.4.7 IMAGE PROCESSING AND COMPUTER VISION. Feature Measurement; I.4.8 IMAGE PROCESSING AND COMPUTER VISION. Scene Analysis; C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS

CNR authors

Magrini Massimo, Pieri Gabriele, Moroni Davide, Salvetti Ovidio

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 199944

Year: 2011

Type: Articolo in rivista

Creation: 2013-01-23 12:02:15.000

Last update: 2023-07-17 15:43:49.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:199944

DOI: 10.1134/S1054661811010093

Scopus: 2-s2.0-79953176970

PUMA: /cnr.isti/2011-A0-032