Image Mining for Infomobility

Massimo Magrini, Davide Moroni, Christian Nastasi, Paolo Pagano, Matteo Petracca, Gabriele Pieri, Claudio Salvadori, Ovidio Salvetti

Abstract

The wide availability of embedded sensor platforms and low-cost camera sensors – 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 mine 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 tackle the image mining problem. 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. We illustrate these ideas by describing an application of visual sensor network to infomobility.

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Paper Citation


in Harvard Style

Magrini M., Moroni D., Nastasi C., Pagano P., Petracca M., Pieri G., Salvadori C. and Salvetti O. (2010). Image Mining for Infomobility . In Proceedings of the Third International Workshop on Image Mining Theory and Applications - Volume 1: IMTA, (VISIGRAPP 2010) ISBN 978-989-674-030-6, pages 35-44. DOI: 10.5220/0002962000350044


in Bibtex Style

@conference{imta10,
author={Massimo Magrini and Davide Moroni and Christian Nastasi and Paolo Pagano and Matteo Petracca and Gabriele Pieri and Claudio Salvadori and Ovidio Salvetti},
title={Image Mining for Infomobility},
booktitle={Proceedings of the Third International Workshop on Image Mining Theory and Applications - Volume 1: IMTA, (VISIGRAPP 2010)},
year={2010},
pages={35-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002962000350044},
isbn={978-989-674-030-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Workshop on Image Mining Theory and Applications - Volume 1: IMTA, (VISIGRAPP 2010)
TI - Image Mining for Infomobility
SN - 978-989-674-030-6
AU - Magrini M.
AU - Moroni D.
AU - Nastasi C.
AU - Pagano P.
AU - Petracca M.
AU - Pieri G.
AU - Salvadori C.
AU - Salvetti O.
PY - 2010
SP - 35
EP - 44
DO - 10.5220/0002962000350044