onr:"swepub:oai:DiVA.org:kth-157981"
Search: onr:"swepub:oai:DiVA.org:kth-157981" > Demo :
- 1 of 1
- Previous record
- Next record
- To hitlist
- Baroffio, L. (author)
Demo : Enabling image analysis tasks in visual sensor networks
- Article/chapterEnglish2014
Publisher, publication year, extent ...
- 2014-11-04
- New York, NY, USA :Association for Computing Machinery (ACM),2014
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:kth-157981
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-157981URI
- https://doi.org/10.1145/2659021.2669477DOI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- QC 20141218
- 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.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Kommunikationssystem hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems hsv//eng
- ARM
- Binary local visual features
- Object recognition
- Object tracking
- Visual sensor networks
Added entries (persons, corporate bodies, meetings, titles ...)
- Canclini, A. (author)
- Cesana, M. (author)
- Redondi, A. (author)
- Tagliasacchi, M. (author)
- Dán, GyörgyKTH,Kommunikationsnät(Swepub:kth)u1arm91c (author)
- Eriksson, EmilKTH,Kommunikationsnät(Swepub:kth)u1du7wot (author)
- Fodor, ViktoriaKTH,Kommunikationsnät(Swepub:kth)u1t0vv0n (author)
- Ascenso, J. (author)
- Monteiro, P. (author)
- KTHKommunikationsnät (creator_code:org_t)
Related titles
- In:Proceedings of the 8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014New York, NY, USA : Association for Computing Machinery (ACM), s. a46-9781450329255
Internet link
Find in a library
- Proceedings of the 8th ACM/IEEE International Conference on Distributed Smart Ca... (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Baroffio, L.
- Canclini, A.
- Cesana, M.
- Redondi, A.
- Tagliasacchi, M.
- Dán, György
- show more...
- Eriksson, Emil
- Fodor, Viktoria
- Ascenso, J.
- Monteiro, P.
- show less...
- About the subject
-
- ENGINEERING AND TECHNOLOGY
- ENGINEERING AND ...
- and Electrical Engin ...
- and Communication Sy ...
- Articles in the publication
- Proceedings of t ...
- By the university
- Royal Institute of Technology
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
