Human Body Segmentation Using R-Cnn

Simple item page
but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.contributor.authorMatějek, Libor
dc.date.accessioned2021-07-21T07:06:55Z
dc.date.available2021-07-21T07:06:55Z
dc.date.issued2021cs
dc.description.abstractThe article deals with basic concepts in the sector of image processing using neural networks.It describes the basic principles and methods of object recognition and image segmentationusing neural network architectures based on R-CNN architecture. Specifically the work focuses onhuman body segmentation from static images, resulting in individual segments in the output maskcorresponding to each limb of a human bodyen
dc.formattextcs
dc.format.extent87-90cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 87-90. ISBN 978-80-214-5942-7cs
dc.identifier.isbn978-80-214-5942-7
dc.identifier.urihttp://hdl.handle.net/11012/200714
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 27st Conference STUDENT EEICT 2021: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectImage segmentationen
dc.subjectBody part recognitionen
dc.subjectCNNen
dc.subjectR-CNNen
dc.subjectdeep learningen
dc.subjectobject recognitionen
dc.titleHuman Body Segmentation Using R-Cnnen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
87_eeict-2021_1.pdf
Size:
2.3 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Student EEICT 2021