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Automatic annotation of pedestrians in thermal images using background/foreground segmentation for training deep neural networks

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dc.contributor.authorAhmed, Zuhaib
dc.contributor.authorAllebosch, Gianni
dc.contributor.authorVeelaert, Peter
dc.contributor.authorPhilips, Wilfried
dc.contributor.imecauthorShaikh, Zuhaib Ahmed
dc.contributor.imecauthorAllebosch, Gianni
dc.contributor.imecauthorVeelaert, Peter
dc.contributor.imecauthorWilfried, Philips
dc.contributor.imecauthorAhmed, Zuhaib
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.orcidimecAllebosch, Gianni::0000-0003-2502-3746
dc.contributor.orcidimecAhmed, Zuhaib::0000-0002-5577-6290
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.date.accessioned2022-01-06T13:20:47Z
dc.date.available2021-11-02T15:57:04Z
dc.date.available2022-01-06T13:20:47Z
dc.date.issued2020
dc.identifier.eisbn978-1-7281-2547-3
dc.identifier.issnna
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37569
dc.publisherIEEE
dc.source.beginpage1444
dc.source.conferenceIEEE Symposium Series on Computational Intelligence (IEEE SSCI)
dc.source.conferencedateDEC 01-04, 2020
dc.source.conferencelocationCanberra, Australia
dc.source.endpage1451
dc.source.journalna
dc.source.numberofpages8
dc.title

Automatic annotation of pedestrians in thermal images using background/foreground segmentation for training deep neural networks

dc.typeProceedings paper
dspace.entity.typePublication
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