Indoor occupancy logger with compressive vision sensing

Soumajit Majumder, Ashish Pandharipande, Anteneh Abbo

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publication4th IEEE International Conference on Consumer Electronics (ICCE-Berlin 2014)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Print)9781479961658
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event4th IEEE International Conference on Consumer Electronics (ICCE-Berlin 2014) - Berlin, Germany
Duration: 7 Sep 201410 Sep 2014
Conference number: 4


Conference4th IEEE International Conference on Consumer Electronics (ICCE-Berlin 2014)
Abbreviated titleICCE-Berlin 2014
Internet address

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