A context inclusive approach to face detection in video the effect of temporal context

Simple item page
dc.contributor.advisorKietzmann, Tim
dc.contributor.advisorGrootjen, F.A.
dc.contributor.authorMax, Laarhoven van
dc.date.issued2020-02-01
dc.description.abstractIn this bachelor thesis we have investigated the e ects of temporal context for face detec- tion in video. This idea has already been implemented in the eld of action recognition. Our contribution is exploring whether this idea is also relevant in the eld of face de- tection. This is realised by the addition of extra input images that vary in the time domain. The method that is used in ates lters in the rst layer of the neural network, enabling access to temporal features. We have researched whether this method will im- prove detection performance. However, the ndings in the scope of this thesis provide no evidence of a signi cant increase in detection performance when temporal context is added. Nevertheless, this research provides ndings indicative of potential gains in performance that can be expanded by future work, together with ideas that can bene t future research in this eld.en_US
dc.embargo.lift10000-01-01
dc.embargo.typePermanent embargoen_US
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/12615
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationBachelor Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeBacheloren_US
dc.titleA context inclusive approach to face detection in video the effect of temporal contexten_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
4547136 Laarhoven.pdf
Size:
8.47 MB
Format:
Adobe Portable Document Format
Download
Collections
Faculteit der Sociale Wetenschappen