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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
Copyright © 2005–2025 IEEE
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