Indoor occupancy logger with compressive vision sensing

Soumajit Majumder, Ashish Pandharipande, Anteneh Abbo

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)

Samenvatting

An occupancy logger that determines user presence and estimated locations in an indoor space may be used for occupancy analytics, space management and other building services. We consider use of a vision sensor along with compressive sensing techniques for occupancy logging. In the presented solution, a sparse representation of captured images is obtained at the sensing device. The sparse representation is sent to a cloud computing unit (CCU). At the CCU, occupancy changes are determined using a change detector. If occupancy is determined, the image is reconstructed using compressive recovery techniques and occupancy is localized and subsequently tracked.We evaluate the performance of this technique with a simple image differencing method under different illuminance conditions.

Originele taal-2Engels
Titel4th IEEE International Conference on Consumer Electronics (ICCE-Berlin 2014)
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's484-488
Aantal pagina's5
ISBN van geprinte versie9781479961658
DOI's
StatusGepubliceerd - 10 sep. 2014
Extern gepubliceerdJa
Evenement2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin) - Berlin, Germany, Berlin, Duitsland
Duur: 7 sep. 201410 sep. 2014
Congresnummer: 4
http://www.icce-berlin.org/2014/

Congres

Congres2014 IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin)
Verkorte titelICCE-Berlin 2014
Land/RegioDuitsland
StadBerlin
Periode7/09/1410/09/14
AnderIEEE International Conference on Consumer Electronics - Berlin
Internet adres

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