Publication:

Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays

Date

2023
Journal article
https://doi.org/10.1109/JIOT.2023.3263290
Simple item page Full metadata Statistics
 
dc.contributor.authorXie, Chen
dc.contributor.authorDaghero, Francesco
dc.contributor.authorChen, Yukai
dc.contributor.authorCastellano, Marco
dc.contributor.authorGandolfi, Luca
dc.contributor.authorCalimera, Andrea
dc.contributor.authorMacii, Enrico
dc.contributor.authorPoncino, Massimo
dc.contributor.authorPagliari, Daniele Jahier
dc.contributor.imecauthorChen, Yukai
dc.contributor.orcidimecChen, Yukai::0000-0003-3378-887X
dc.date.accessioned2024-02-28T10:52:07Z
dc.date.available2023-08-21T18:00:49Z
dc.date.available2024-02-28T10:52:07Z
dc.date.embargo2023-09-30
dc.date.issued2023
dc.description.wosFundingTextThis work was supported by the ECSEL Joint Undertaking (JU) under Grant 101007321. The JU receives support from the European Union's Horizon 2020 Research and Innovation Programme and France, Belgium, Czech Republic, Germany, Italy, Sweden, Switzerland, Turkey.& nbsp;
dc.identifier.doi10.1109/JIOT.2023.3263290
dc.identifier.issn2327-4662
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/42380
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage13895
dc.source.endpage13907
dc.source.issue15
dc.source.journalIEEE INTERNET OF THINGS JOURNAL
dc.source.numberofpages13
dc.source.volume10
dc.subject.keywordsRECOGNITION
dc.title

Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
2304.06059.pdf
Size:
4.2 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
Publication available in collections:
Articles