Discovering activity patterns in office environment using a network of low-resolution visual sensors

dc.contributor.author	Eldib, Mohamed
dc.contributor.author	Deboeverie, Francis
dc.contributor.author	Philips, Wilfried
dc.contributor.author	Aghajan, Hamid
dc.contributor.imecauthor	Philips, Wilfried
dc.contributor.orcidimec	Philips, Wilfried::0000-0003-4456-4353
dc.date.accessioned	2021-10-25T18:26:39Z
dc.date.available	2021-10-25T18:26:39Z
dc.date.embargo	9999-12-31
dc.date.issued	2018
dc.identifier.issn	1876-1364
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/30671
dc.identifier.url	https://link.springer.com/article/10.1007/s12652-017-0511-7
dc.source.beginpage	381
dc.source.endpage	411
dc.source.issue	2
dc.source.journal	Journal of Ambient Intelligence and Smart Environments
dc.source.volume	9
dc.title	Discovering activity patterns in office environment using a network of low-resolution visual sensors
dc.type	Journal article
dspace.entity.type	Publication
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