Imager based sensor networks for understanding and creating behaviors

Andreas Savvides; Eugenio Culurciello

2nd International ICST Conference on Broadband Networks

Research Article

Imager based sensor networks for understanding and creating behaviors

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/ICBN.2005.1589710,
    author={Andreas Savvides and Eugenio Culurciello},
    title={Imager based sensor networks for understanding and creating behaviors},
    proceedings={2nd International ICST Conference on Broadband Networks},
    publisher={IEEE},
    proceedings_a={BROADNETS},
    year={2006},
    month={2},
    keywords={},
    doi={10.1109/ICBN.2005.1589710}
}

Andreas Savvides
Eugenio Culurciello
Year: 2006
Imager based sensor networks for understanding and creating behaviors
BROADNETS
IEEE
DOI: 10.1109/ICBN.2005.1589710

Andreas Savvides¹^,*, Eugenio Culurciello¹^,*

1: Embedded Networks and Applications Lab, Yale University, New Haven, CT 06520

*Contact email: andreas.savvides@yale.edu, eugenio.culurciello@yale.edu

Abstract

In this vision paper we propose the creation of sensor networks based on custom designed multifunction imagers that can directly pick out events of interest from a scene. We argue that with a suitable learning framework such sensors have great potential for realizing sensor networks that can interpret and subsequently orchestrate behaviors in physical space. This paper provides an overview of the research challenges followed by a brief description of our current research efforts towards creating a functional experimental system for investigating these intelligent networks

Published: 2006-02-13
Publisher: IEEE

: http://dx.doi.org/10.1109/ICBN.2005.1589710