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Enabling Visual Analysis in Wireless Sensor Networks
Politecnico di Milano.
Politecnico di Milano.
Politecnico di Milano.
Politecnico di Milano.
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2014 (English)In: 2014 IEEE International Conference on Image Processing (ICIP), IEEE , 2014, 3408-3410 p.Conference paper, Published paper (Refereed)
Abstract [en]

This demo showcases some of the results obtained by the GreenEyes project, whose main objective is to enable visual analysis on resource-constrained multimedia sensor networks. The demo features a multi-hop visual sensor network operated by BeagleBones Linux computers with IEEE 802.15.4 communication capabilities, and capable of recognizing and tracking objects according to two different visual paradigms. In the traditional compress-then-analyze (CTA) paradigm, JPEG compressed images are transmitted through the network from a camera node to a central controller, where the analysis takes place. In the alternative analyze-then-compress (ATC) paradigm, the camera node extracts and compresses local binary visual features from the acquired images (either locally or in a distributed fashion) and transmits them to the central controller, where they are used to perform object recognition/tracking. We show that, in a bandwidth constrained scenario, the latter paradigm allows to reach better results in terms of application frame rates, still ensuring excellent analysis performance.

Place, publisher, year, edition, pages
IEEE , 2014. 3408-3410 p.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-156177DOI: 10.1109/ICIP.2014.7025690OAI: oai:DiVA.org:kth-156177DiVA: diva2:765491
Conference
IEEE International Conference on Image Processing (ICIP), Paris, France, October 2014
Funder
EU, FP7, Seventh Framework Programme
Note

QC 20150206

Available from: 2014-11-24 Created: 2014-11-24 Last updated: 2015-02-06Bibliographically approved

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Dán, GyörgyFodor, ViktoriaEriksson, Emil

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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